Index (Apache OpenNLP Tools 1.9.5 API)
Date: 2026-06-18

A B C D E F G H I J L M N O P Q R S T U V W X Z

## A

AbstractBottomUpParser - Class in opennlp.tools.parser
  Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.
AbstractBottomUpParser(POSTagger, Chunker, HeadRules, int, double) - Constructor for class opennlp.tools.parser.AbstractBottomUpParser
AbstractContextGenerator - Class in opennlp.tools.parser
  Abstract class containing many of the methods used to generate contexts for parsing.
AbstractContextGenerator() - Constructor for class opennlp.tools.parser.AbstractContextGenerator
AbstractDataIndexer - Class in opennlp.tools.ml.model
  Abstract class for collecting event and context counts used in training.
AbstractDataIndexer() - Constructor for class opennlp.tools.ml.model.AbstractDataIndexer
AbstractEventModelSequenceTrainer - Class in opennlp.tools.ml
AbstractEventModelSequenceTrainer() - Constructor for class opennlp.tools.ml.AbstractEventModelSequenceTrainer
AbstractEventStream<T> - Class in opennlp.tools.util
AbstractEventStream(ObjectStream<T>) - Constructor for class opennlp.tools.util.AbstractEventStream
  Initializes the current instance with a sample `Iterator`.
AbstractEventTrainer - Class in opennlp.tools.ml
AbstractEventTrainer() - Constructor for class opennlp.tools.ml.AbstractEventTrainer
AbstractEventTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractEventTrainer
AbstractModel - Class in opennlp.tools.ml.model
AbstractModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.model.AbstractModel
AbstractModel.ModelType - Enum in opennlp.tools.ml.model
AbstractModelReader - Class in opennlp.tools.ml.model
AbstractModelReader(File) - Constructor for class opennlp.tools.ml.model.AbstractModelReader
AbstractModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.AbstractModelReader
AbstractModelWriter - Class in opennlp.tools.ml.model
AbstractModelWriter() - Constructor for class opennlp.tools.ml.model.AbstractModelWriter
AbstractObjectStream<T> - Class in opennlp.tools.util
AbstractParserEventStream - Class in opennlp.tools.parser
  Abstract class extended by parser event streams which perform tagging and chunking.
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
AbstractSampleStreamFactory<T> - Class in opennlp.tools.formats
  Base class for sample stream factories.
AbstractSequenceTrainer - Class in opennlp.tools.ml
AbstractSequenceTrainer() - Constructor for class opennlp.tools.ml.AbstractSequenceTrainer
AbstractToSentenceSampleStream<T> - Class in opennlp.tools.formats.convert
AbstractTrainer - Class in opennlp.tools.ml
AbstractTrainer() - Constructor for class opennlp.tools.ml.AbstractTrainer
AbstractTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractTrainer
AbstractXmlFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
AdaptiveFeatureGenerator - Interface in opennlp.tools.util.featuregen
  An interface for generating features for name entity identification and for updating document level contexts.
ADChunkSampleStream - Class in opennlp.tools.formats.ad
  Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.
ADChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream
  Creates a new `NameSample` stream from a line stream, i.e.
ADChunkSampleStream(InputStreamFactory, String) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream
ADChunkSampleStreamFactory - Class in opennlp.tools.formats.ad
  A Factory to create a Arvores Deitadas ChunkStream from the command line utility.
add(IrishSentenceBankDocument.IrishSentenceBankSentence) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
add(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
add(String) - Method in class opennlp.tools.ngram.NGramCharModel
  Adds one NGram, if it already exists the count increase by one.
add(CharSequence, int, int) - Method in class opennlp.tools.ngram.NGramCharModel
  Adds CharSequence that will be ngrammed into chars.
add(StringList) - Method in class opennlp.tools.ngram.NGramModel
  Adds one NGram, if it already exists the count increase by one.
add(StringList, int, int) - Method in class opennlp.tools.ngram.NGramModel
  Adds NGrams up to the specified length to the current instance.
add(CharSequence, int, int) - Method in class opennlp.tools.ngram.NGramModel
  Adds character NGrams to the current instance.
add(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
add(char) - Method in class opennlp.tools.stemmer.PorterStemmer
  Add a character to the word being stemmed.
add(double) - Method in class opennlp.tools.util.eval.Mean
  Adds a value to the arithmetic mean.
add(double, long) - Method in class opennlp.tools.util.eval.Mean
  Adds a value count times to the arithmetic mean.
add(String, double) - Method in class opennlp.tools.util.Sequence
  Adds an outcome and probability to this sequence.
addCutoffAndIterations(Map<String, String>, int, int) - Static method in class opennlp.tools.util.model.ModelUtil
addElement(ADSentenceStream.SentenceParser.TreeElement) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface opennlp.tools.namefind.NameContextGenerator
  Adds a feature generator to this set of feature generators.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.Probability
  Compounds the existing probability mass on the label with the new probability passed in to the method.
additionalContext(String[], Map<String, String>) - Static method in class opennlp.tools.namefind.NameFinderEventStream
  Generated previous decision features for each token based on contents of the specified map.
AdditionalContextFeatureGenerator - Class in opennlp.tools.util.featuregen
  The `AdditionalContextFeatureGenerator` generates the context from the passed in additional context.
AdditionalContextFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
addNames(String, Span[], Parse[]) - Static method in class opennlp.tools.parser.Parse
  Utility method to inserts named entities.
addNextPunctuation(Parse) - Method in class opennlp.tools.parser.Parse
  Designates that the specified punctuation follows this parse.
addPreviousPunctuation(Parse) - Method in class opennlp.tools.parser.Parse
  Designates that the specified punctuation should is prior to this parse.
addProb(double) - Method in class opennlp.tools.parser.Parse
  Adds the specified probability log to this current log for this parse.
adjoin(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
  Sister adjoins this node's last child and the specified sister node and returns their new parent node.
adjoinRoot(Parse, HeadRules, int) - Method in class opennlp.tools.parser.Parse
ADNameSampleStream - Class in opennlp.tools.formats.ad
  Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.
ADNameSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream
  Creates a new `NameSample` stream from a line stream, i.e.
ADNameSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream
  Deprecated.
ADNameSampleStreamFactory - Class in opennlp.tools.formats.ad
  A Factory to create a Arvores Deitadas NameSampleDataStream from the command line utility.
ADPOSSampleStream - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADPOSSampleStream(ObjectStream<String>, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream
  Creates a new `POSSample` stream from a line stream, i.e.
ADPOSSampleStream(InputStreamFactory, String, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream
  Creates a new `POSSample` stream from a `InputStream`
ADPOSSampleStreamFactory - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADSentenceSampleStream - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADSentenceSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream
  Creates a new `SentenceSample` stream from a line stream, i.e.
ADSentenceSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream
  Creates a new `SentenceSample` stream from a `FileInputStream`
ADSentenceSampleStreamFactory - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADSentenceStream - Class in opennlp.tools.formats.ad
  Stream filter which merges text lines into sentences, following the Arvores Deitadas syntax.
ADSentenceStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADSentenceStream
ADSentenceStream.Sentence - Class in opennlp.tools.formats.ad
ADSentenceStream.SentenceParser - Class in opennlp.tools.formats.ad
  Parses a sample of AD corpus.
ADSentenceStream.SentenceParser.Leaf - Class in opennlp.tools.formats.ad
  Represents the AD leaf
ADSentenceStream.SentenceParser.Node - Class in opennlp.tools.formats.ad
  Represents the AD node
ADSentenceStream.SentenceParser.TreeElement - Class in opennlp.tools.formats.ad
  Represents a tree element, Node or Leaf
ADTokenSampleStreamFactory - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
AggregateCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
AggregateCharSequenceNormalizer(CharSequenceNormalizer...) - Constructor for class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
AggregatedFeatureGenerator - Class in opennlp.tools.util.featuregen
  The `AggregatedFeatureGenerator` aggregates a set of `AdaptiveFeatureGenerator`s and calls them to generate the features.
AggregatedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Initializes the current instance.
AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator>) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
AggregatedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
AggregatedFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
algorithm(String) - Method in class opennlp.tools.util.TrainingParameters
  Retrieves the training algorithm name for a given name space.
algorithm() - Method in class opennlp.tools.util.TrainingParameters
  Retrieves the training algorithm name.
ALGORITHM_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
ALGORITHM_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
ALLOWED_PACKAGES_PROPERTY - Static variable in class opennlp.tools.util.ext.ExtensionLoader
  System property for supplying additional allowed package prefixes.
alphaNumeric - Static variable in class opennlp.tools.tokenize.TokenizerME
  Deprecated.
  As of release 1.5.2, replaced by `Factory.getAlphanumeric(String)`
AncoraSpanishHeadRules - Class in opennlp.tools.parser.lang.es
  Class for storing the Ancora Spanish head rules associated with parsing.
AncoraSpanishHeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
  Creates a new set of head rules based on the specified reader.
AncoraSpanishHeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.es
AnnotationConfiguration - Class in opennlp.tools.formats.brat
AnnotationConfiguration(Map<String, String>) - Constructor for class opennlp.tools.formats.brat.AnnotationConfiguration
AnnotatorNoteAnnotation - Class in opennlp.tools.formats.brat
arabicStemmer - Class in opennlp.tools.stemmer.snowball
  This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
arabicStemmer() - Constructor for class opennlp.tools.stemmer.snowball.arabicStemmer
areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BilouCodec
  B requires CL or L C requires BL L requires B O requires any valid combo/unit U requires none
areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BioCodec
areOutcomesCompatible(String[]) - Method in interface opennlp.tools.util.SequenceCodec
  Checks if the outcomes of the model are compatible with the codec.
argmax(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Find index of maximum element in the vector x
ArrayMath - Class in opennlp.tools.ml
  Utility class for simple vector arithmetic.
ArrayMath() - Constructor for class opennlp.tools.ml.ArrayMath
ArrayMath - Class in opennlp.tools.ml.maxent.quasinewton
  Deprecated.
ArrayMath() - Constructor for class opennlp.tools.ml.maxent.quasinewton.ArrayMath
  Deprecated.
ArtifactProvider - Interface in opennlp.tools.util.model
  Provides access to model persisted artifacts.
ArtifactSerializer<T> - Interface in opennlp.tools.util.model
  Responsible to create an artifact from an `InputStream`.
ArtifactToSerializerMapper - Interface in opennlp.tools.util.featuregen
  Deprecated.
asStringSet() - Method in class opennlp.tools.dictionary.Dictionary
  Gets this dictionary as a `Set<String>`.
ATTACH_DAUGHTER - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a node should be attached as a daughter to another node.
ATTACH_SISTER - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a node should be attached as a sister to another node.
AttachContextGenerator - Class in opennlp.tools.parser.treeinsert
AttachContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.AttachContextGenerator
ATTRIBUTE_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
AttributeAnnotation - Class in opennlp.tools.formats.brat
Attributes - Class in opennlp.tools.dictionary.serializer
  The `Attributes` class stores name value pairs.
Attributes() - Constructor for class opennlp.tools.dictionary.serializer.Attributes

## B

BagOfWordsFeatureGenerator - Class in opennlp.tools.doccat
  Generates a feature for each word in a document.
BagOfWordsFeatureGenerator() - Constructor for class opennlp.tools.doccat.BagOfWordsFeatureGenerator
BaseLink - Class in opennlp.tools.entitylinker
  Stores a minimal tuple of information.
BaseLink() - Constructor for class opennlp.tools.entitylinker.BaseLink
BaseLink(String, String, String, String) - Constructor for class opennlp.tools.entitylinker.BaseLink
BaseModel - Class in opennlp.tools.util.model
  This model is a common based which can be used by the components model classes.
BaseToolFactory - Class in opennlp.tools.util
  Base class for all tool factories.
BaseToolFactory() - Constructor for class opennlp.tools.util.BaseToolFactory
  All sub-classes should have an empty constructor
BasicContextGenerator - Class in opennlp.tools.ml.maxent
  Generate contexts for maxent decisions, assuming that the input given to the getContext() method is a String containing contextual predicates separated by spaces.
BasicContextGenerator() - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator
BasicContextGenerator(String) - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator
BasicFormatParams - Interface in opennlp.tools.cmdline.params
  Common format parameters.
BasicTrainingParams - Interface in opennlp.tools.cmdline.params
  Common training parameters.
BEAM_SIZE_PARAMETER - Static variable in class opennlp.tools.ml.BeamSearch
BeamSearch<T> - Class in opennlp.tools.ml
  Performs k-best search over sequence.
BeamSearch(int, MaxentModel) - Constructor for class opennlp.tools.ml.BeamSearch
  Creates new search object.
BeamSearch(int, MaxentModel, int) - Constructor for class opennlp.tools.ml.BeamSearch
BeamSearchContextGenerator<T> - Interface in opennlp.tools.util
  Interface for context generators used with a sequence beam search.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
  Finds the sequence with the highest probability.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
  Returns the best sequence of outcomes based on model for this object.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
  Finds the n most probable sequences.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
  Finds the n most probable sequences.
BigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen
BigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
BigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
BigramNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
BilouCodec - Class in opennlp.tools.namefind
BilouCodec() - Constructor for class opennlp.tools.namefind.BilouCodec
BilouNameFinderSequenceValidator - Class in opennlp.tools.namefind
BilouNameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.BilouNameFinderSequenceValidator
BinaryFileDataReader - Class in opennlp.tools.ml.model
BinaryFileDataReader(File) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
BinaryFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
BinaryFileDataReader(DataInputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
BinaryGISModelReader - Class in opennlp.tools.ml.maxent.io
  A reader for GIS models stored in binary format.
BinaryGISModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelReader
  Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryGISModelWriter - Class in opennlp.tools.ml.maxent.io
  Model writer that saves models in binary format.
BinaryGISModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
  Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryGISModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
  Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BinaryNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes
BinaryNaiveBayesModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader
  Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader
  Constructor which takes a File and creates a reader for it.
BinaryNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes
  Model writer that saves models in binary format.
BinaryNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
  Constructor which takes a NaiveBayesModel and a File and prepares itself to write the model to that file.
BinaryNaiveBayesModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
  Constructor which takes a NaiveBayesModel and a DataOutputStream and prepares itself to write the model to that stream.
BinaryPerceptronModelReader - Class in opennlp.tools.ml.perceptron
BinaryPerceptronModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader
  Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryPerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader
  Constructor which takes a File and creates a reader for it.
BinaryPerceptronModelWriter - Class in opennlp.tools.ml.perceptron
  Model writer that saves models in binary format.
BinaryPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
  Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryPerceptronModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
  Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BinaryQNModelReader - Class in opennlp.tools.ml.maxent.io
  A reader for quasi-newton models stored in binary format.
BinaryQNModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelReader
  Constructor which directly instantiates the DataInputStream containing the model contents.
BinaryQNModelWriter - Class in opennlp.tools.ml.maxent.io
BinaryQNModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
  Constructor which takes a GISModel and a File and prepares itself to write the model to that file.
BinaryQNModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
  Constructor which takes a GISModel and a DataOutputStream and prepares itself to write the model to that stream.
BioCodec - Class in opennlp.tools.namefind
BioCodec() - Constructor for class opennlp.tools.namefind.BioCodec
BioNLP2004NameSampleStream - Class in opennlp.tools.formats
  Parser for the training files of the BioNLP/NLPBA 2004 shared task.
BioNLP2004NameSampleStream(InputStreamFactory, int) - Constructor for class opennlp.tools.formats.BioNLP2004NameSampleStream
BioNLP2004NameSampleStreamFactory - Class in opennlp.tools.formats
BRACKET_LCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LSB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RSB - Static variable in class opennlp.tools.parser.Parse
BratAnnotation - Class in opennlp.tools.formats.brat
BratAnnotationStream - Class in opennlp.tools.formats.brat
  Reads the annotations from the brat .ann annotation file.
BratDocument - Class in opennlp.tools.formats.brat
BratDocument(AnnotationConfiguration, String, String, Collection<BratAnnotation>) - Constructor for class opennlp.tools.formats.brat.BratDocument
BratDocumentParser - Class in opennlp.tools.formats.brat
BratDocumentParser(SentenceDetector, Tokenizer) - Constructor for class opennlp.tools.formats.brat.BratDocumentParser
BratDocumentParser(SentenceDetector, Tokenizer, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratDocumentParser
BratDocumentStream - Class in opennlp.tools.formats.brat
BratDocumentStream(AnnotationConfiguration, File, boolean, FileFilter) - Constructor for class opennlp.tools.formats.brat.BratDocumentStream
  Creates a BratDocumentStream which reads the documents from the given input directory.
BratNameSampleStream - Class in opennlp.tools.formats.brat
  Generates Name Sample objects for a Brat Document object.
BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream
  Creates a new `BratNameSampleStream`.
BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream
  Creates a new `BratNameSampleStream`.
BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream
  Creates a new `BratNameSampleStream`.
BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream
  Creates a new `BratNameSampleStream`.
BratNameSampleStreamFactory - Class in opennlp.tools.formats.brat
BrownBigramFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates Brown cluster features for token bigrams.
BrownBigramFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownBigramFeatureGenerator
  Creates a new Brown Cluster bigram feature generator.
BrownCluster - Class in opennlp.tools.util.featuregen
  Class to load a Brown cluster document: word\tword_class\tprob http://metaoptimize.com/projects/wordreprs/ The file containing the clustering lexicon has to be passed as the value of the dict attribute of each BrownCluster feature generator.
BrownCluster(InputStream) - Constructor for class opennlp.tools.util.featuregen.BrownCluster
  Generates the token to cluster map from Brown cluster input file.
BrownCluster.BrownClusterSerializer - Class in opennlp.tools.util.featuregen
BrownClusterBigramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  Generates Brown clustering features for token bigrams.
BrownClusterBigramFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
BrownClusterSerializer() - Constructor for class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
BrownClusterTokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  Generates Brown clustering features for token classes.
BrownClusterTokenClassFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
BrownClusterTokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  Generates Brown clustering features for current token.
BrownClusterTokenFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
BrownTokenClasses - Class in opennlp.tools.util.featuregen
  Obtain the paths listed in the pathLengths array from the Brown class.
BrownTokenClasses() - Constructor for class opennlp.tools.util.featuregen.BrownTokenClasses
BrownTokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates Brown cluster features for current token and token class.
BrownTokenClassFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator
BrownTokenFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates Brown cluster features for current token.
BrownTokenFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
BuildContextGenerator - Class in opennlp.tools.parser.chunking
  Class to generator predictive contexts for deciding how constituents should be combined together.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator
  Creates a new context generator for making decisions about combining constitients togehter.
BuildContextGenerator(Dictionary) - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator
BuildContextGenerator - Class in opennlp.tools.parser.treeinsert
  Creates the features or contexts for the building phase of parsing.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.treeinsert.BuildContextGenerator
buildDictionary(ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
  Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
buildDictionary(ObjectStream<Parse>, HeadRules, int) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
  Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.
BuildModelUpdaterTool - Class in opennlp.tools.cmdline.parser
BuildModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
buildNGramDictionary(ObjectStream<POSSample>, int) - Static method in class opennlp.tools.postag.POSTaggerME
BUILT - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Label used to distinguish build nodes from non-built nodes.
ByteArraySerializer - Class in opennlp.tools.util.model
ByteArraySerializer() - Constructor for class opennlp.tools.util.model.ByteArraySerializer

## C

Cache<K,V> - Class in opennlp.tools.util
  Provides fixed size, pre-allocated, least recently used replacement cache.
Cache(int) - Constructor for class opennlp.tools.util.Cache
CachedFeatureGenerator - Class in opennlp.tools.util.featuregen
  Caches features of the aggregated `AdaptiveFeatureGenerator`s.
CachedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator
  Deprecated.
CachedFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator
CachedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
CachedFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
calculateBigramMLProbability(String, String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a bigram in a vocabulary using maximum likelihood estimation
calculateBigramPriorSmoothingProbability(String, String, Collection<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a bigram in a vocabulary using prior Laplace smoothing algorithm
calculateHashSum() - Method in class opennlp.tools.ml.model.HashSumEventStream
  Calculates the hash sum of the stream.
calculateLaplaceSmoothingProbability(StringList, Iterable<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a ngram in a vocabulary using Laplace smoothing algorithm
calculateMissingNgramProbabilityMass(StringList, Double, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a ngram in a vocabulary using the missing probability mass algorithm
calculateNgramMLProbability(StringList, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a ngram in a vocabulary using maximum likelihood estimation
calculateProbability(StringList) - Method in interface opennlp.tools.languagemodel.LanguageModel
  Deprecated.
  use `LanguageModel.calculateProbability(String...)`
calculateProbability(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel
  Calculate the probability of a series of tokens (e.g.
calculateProbability(StringList) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
calculateProbability(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
calculateTrigramLinearInterpolationProbability(String, String, String, Collection<StringList>, Double, Double, Double) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a trigram in a vocabulary using a linear interpolation algorithm
calculateTrigramMLProbability(String, String, String, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a trigram in a vocabulary using maximum likelihood estimation
calculateUnigramMLProbability(String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a unigram in a vocabulary using maximum likelihood estimation
catalanStemmer - Class in opennlp.tools.stemmer.snowball
  This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
catalanStemmer() - Constructor for class opennlp.tools.stemmer.snowball.catalanStemmer
categorize(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Categorize the given text provided as tokens along with the provided extra information
categorize(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Categorizes the given text, provided in separate tokens.
categorize(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.DocumentCategorizerME
  Categorize the given text provided as tokens along with the provided extra information
categorize(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
  Categorizes the given text.
CensusDictionaryCreatorTool - Class in opennlp.tools.cmdline.namefind
  This tool helps create a loadable dictionary for the `NameFinder`, from data collected from US Census data.
CensusDictionaryCreatorTool() - Constructor for class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
CharacterNgramFeatureGenerator - Class in opennlp.tools.util.featuregen
  The `CharacterNgramFeatureGenerator` uses character ngrams to generate features about each token.
CharacterNgramFeatureGenerator(int, int) - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
CharacterNgramFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
  Initializes the current instance with min 2 length and max 5 length of ngrams.
CharacterNgramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
CharacterNgramFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
characters(char[], int, int) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
characters(CharSequence) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
characters(CharSequence) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
CharSequenceNormalizer - Interface in opennlp.tools.util.normalizer
  A char sequence normalizer, used to adjusting (prune, substitute, add, etc.) characters in order to remove noise from text
CheckContextGenerator - Class in opennlp.tools.parser.chunking
  Class for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator() - Constructor for class opennlp.tools.parser.chunking.CheckContextGenerator
  Creates a new context generator for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator - Class in opennlp.tools.parser.treeinsert
CheckContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.CheckContextGenerator
checkModelType() - Method in class opennlp.tools.ml.maxent.io.GISModelReader
checkModelType() - Method in class opennlp.tools.ml.maxent.io.QNModelReader
checkModelType() - Method in class opennlp.tools.ml.model.AbstractModelReader
checkModelType() - Method in class opennlp.tools.ml.model.GenericModelReader
checkModelType() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
checkModelType() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader
CheckModelUpdaterTool - Class in opennlp.tools.cmdline.parser
CheckModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
chunk(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
  Generates chunk tags for the given sequence returning the result in an array.
chunk(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
chunkAsSpans(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
  Generates tagged chunk spans for the given sequence returning the result in a span array.
chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
ChunkContextGenerator - Class in opennlp.tools.parser
  Creates predivtive context for the pre-chunking phases of parsing.
ChunkContextGenerator() - Constructor for class opennlp.tools.parser.ChunkContextGenerator
ChunkContextGenerator(int) - Constructor for class opennlp.tools.parser.ChunkContextGenerator
Chunker - Interface in opennlp.tools.chunker
  The interface for chunkers which provide chunk tags for a sequence of tokens.
ChunkerContextGenerator - Interface in opennlp.tools.chunker
  Interface for the context generator used in syntactic chunking.
ChunkerConverterTool - Class in opennlp.tools.cmdline.chunker
  Tool to convert multiple data formats into native OpenNLP chunker training format.
ChunkerConverterTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerConverterTool
ChunkerCrossValidator - Class in opennlp.tools.chunker
ChunkerCrossValidator(String, TrainingParameters, ChunkerFactory, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerCrossValidator
ChunkerCrossValidatorTool - Class in opennlp.tools.cmdline.chunker
ChunkerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
ChunkerDetailedFMeasureListener - Class in opennlp.tools.cmdline.chunker
ChunkerDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerDetailedFMeasureListener
ChunkerEvaluationMonitor - Interface in opennlp.tools.chunker
ChunkerEvaluator - Class in opennlp.tools.chunker
  The `ChunkerEvaluator` measures the performance of the given `Chunker` with the provided reference `ChunkSample`s.
ChunkerEvaluator(Chunker, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerEvaluator
  Initializes the current instance with the given `Chunker`.
ChunkerEvaluatorTool - Class in opennlp.tools.cmdline.chunker
ChunkerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
ChunkerEventStream - Class in opennlp.tools.chunker
  Class for creating an event stream out of data files for training a chunker.
ChunkerEventStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkerEventStream
  Creates a new event stream based on the specified data stream using the specified context generator.
ChunkerFactory - Class in opennlp.tools.chunker
ChunkerFactory() - Constructor for class opennlp.tools.chunker.ChunkerFactory
  Creates a `ChunkerFactory` that provides the default implementation of the resources.
ChunkerME - Class in opennlp.tools.chunker
  The class represents a maximum-entropy-based chunker.
ChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ChunkerME
  Initializes the current instance with the specified model.
ChunkerMETool - Class in opennlp.tools.cmdline.chunker
ChunkerMETool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerMETool
ChunkerModel - Class in opennlp.tools.chunker
  The `ChunkerModel` is the model used by a learnable `Chunker`.
ChunkerModel(String, SequenceClassificationModel<String>, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(String, MaxentModel, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(String, MaxentModel, int, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(String, MaxentModel, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(InputStream) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(File) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(Path) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModel(URL) - Constructor for class opennlp.tools.chunker.ChunkerModel
ChunkerModelLoader - Class in opennlp.tools.cmdline.chunker
  Loads a Chunker Model for the command line tools.
ChunkerModelLoader() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerModelLoader
ChunkerModelSerializer - Class in opennlp.tools.util.model
ChunkerModelSerializer() - Constructor for class opennlp.tools.util.model.ChunkerModelSerializer
ChunkerSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `ChunkSampleStream`s.
ChunkerTrainerTool - Class in opennlp.tools.cmdline.chunker
ChunkerTrainerTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
ChunkEvaluationErrorListener - Class in opennlp.tools.cmdline.chunker
  A default implementation of `EvaluationMonitor` that prints to an output stream.
ChunkEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
  Creates a listener that will print to System.err
ChunkEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
ChunkSample - Class in opennlp.tools.chunker
  Class for holding chunks for a single unit of text.
ChunkSample(String[], String[], String[]) - Constructor for class opennlp.tools.chunker.ChunkSample
  Initializes the current instance.
ChunkSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.chunker.ChunkSample
  Initializes the current instance.
ChunkSampleSequenceStream - Class in opennlp.tools.chunker
ChunkSampleSequenceStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkSampleSequenceStream
ChunkSampleStream - Class in opennlp.tools.chunker
  Parses the conll 2000 shared task shallow parser training data.
ChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.chunker.ChunkSampleStream
  Initializes the current instance.
ChunkSampleStream - Class in opennlp.tools.parser
ChunkSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.ChunkSampleStream
clearAdaptiveData() - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
clearAdaptiveData() - Method in class opennlp.tools.namefind.DictionaryNameFinder
clearAdaptiveData() - Method in interface opennlp.tools.namefind.NameContextGenerator
  Informs all the feature generators for a name finder that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Method in class opennlp.tools.namefind.NameFinderME
  Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in class opennlp.tools.namefind.RegexNameFinder
clearAdaptiveData() - Method in interface opennlp.tools.namefind.TokenNameFinder
  Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
  Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Calls the `AdaptiveFeatureGenerator.clearAdaptiveData()` method on all aggregated `AdaptiveFeatureGenerator`s.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
  Clears the previous map.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
  Clears the previous map.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
clone() - Method in class opennlp.tools.parser.Parse
clone(Parse) - Method in class opennlp.tools.parser.Parse
  Clones the right frontier of parse up to the specified node.
cloneRoot(Parse, int) - Method in class opennlp.tools.parser.Parse
  Clones the right frontier of this root parse up to and including the specified node.
close() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
close() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
close() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
close() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
close() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
close() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
close() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
close() - Method in class opennlp.tools.formats.brat.BratDocumentStream
close() - Method in class opennlp.tools.formats.Conll02NameSampleStream
close() - Method in class opennlp.tools.formats.Conll03NameSampleStream
close() - Method in class opennlp.tools.formats.conllu.ConlluStream
close() - Method in class opennlp.tools.formats.DirectorySampleStream
  Closes the `ObjectStream` and releases all allocated resources.
close() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
close() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
close() - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStream
close() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
close() - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
close() - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
close() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
close() - Method in class opennlp.tools.ml.model.AbstractModelWriter
close() - Method in class opennlp.tools.ml.model.FileEventStream
close() - Method in class opennlp.tools.ml.model.GenericModelWriter
close() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
close() - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
close() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
close() - Method in class opennlp.tools.postag.POSSampleSequenceStream
close() - Method in class opennlp.tools.tokenize.TokenizerStream
close() - Method in class opennlp.tools.util.AbstractEventStream
close() - Method in class opennlp.tools.util.AbstractObjectStream
close() - Method in class opennlp.tools.util.CollectionObjectStream
close() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
close() - Method in class opennlp.tools.util.FilterObjectStream
close() - Method in class opennlp.tools.util.model.UncloseableInputStream
  This method does not has any effect the `InputStream` cannot be closed.
close() - Method in interface opennlp.tools.util.ObjectStream
  Closes the `ObjectStream` and releases all allocated resources.
close() - Method in class opennlp.tools.util.PlainTextByLineStream
collapsePunctuation(Parse[], Set<String>) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
  Removes the punctuation from the specified set of chunks, adds it to the parses adjacent to the punctuation is specified, and returns a new array of parses with the punctuation removed.
CollectionObjectStream<E> - Class in opennlp.tools.util
CollectionObjectStream(Collection<E>) - Constructor for class opennlp.tools.util.CollectionObjectStream
ComparableEvent - Class in opennlp.tools.ml.model
  A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
ComparableEvent(int, int[], float[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent
ComparableEvent(int, int[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent
ComparablePredicate - Class in opennlp.tools.ml.model
  A maxent predicate representation which we can use to sort based on the outcomes.
ComparablePredicate(String, int[], double[]) - Constructor for class opennlp.tools.ml.model.ComparablePredicate
compareTo(ComparableEvent) - Method in class opennlp.tools.ml.model.ComparableEvent
compareTo(ComparablePredicate) - Method in class opennlp.tools.ml.model.ComparablePredicate
compareTo(Parse) - Method in class opennlp.tools.parser.Parse
compareTo(Sequence) - Method in class opennlp.tools.util.Sequence
compareTo(Span) - Method in class opennlp.tools.util.Span
  Compares the specified span to the current span.
compareToIgnoreCase(StringList) - Method in class opennlp.tools.util.StringList
  Compares to tokens list and ignores the case of the tokens.
COMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Outcome used when a constituent is complete.
complete() - Method in class opennlp.tools.parser.Parse
  Returns whether this parse is complete.
computeShortestEditScript(String, String, int[][], StringBuffer) - Static method in class opennlp.tools.util.StringUtil
  Computes the Shortest Edit Script (SES) to convert a word into its lemma.
concatenateObjectStream(Collection<ObjectStream<T>>) - Static method in class opennlp.tools.util.ObjectStreamUtils
  Creates a single concatenated ObjectStream from multiple individual ObjectStreams with the same type.
concatenateObjectStream(ObjectStream<T>...) - Static method in class opennlp.tools.util.ObjectStreamUtils
  Creates a single concatenated ObjectStream from multiple individual ObjectStreams with the same type.
ConfigurablePOSContextGenerator - Class in opennlp.tools.postag
  A context generator for the POS Tagger.
ConfigurablePOSContextGenerator(int, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator
  Initializes the current instance.
ConfigurablePOSContextGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator
  Initializes the current instance.
Conll02NameSampleStream - Class in opennlp.tools.formats
  Parser for the dutch and spanish ner training files of the CONLL 2002 shared task.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream
Conll02NameSampleStream.LANGUAGE - Enum in opennlp.tools.formats
Conll02NameSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
Conll03NameSampleStream - Class in opennlp.tools.formats
  An import stream which can parse the CONLL03 data.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream
Conll03NameSampleStream.LANGUAGE - Enum in opennlp.tools.formats
Conll03NameSampleStreamFactory - Class in opennlp.tools.formats
CONLLU_FORMAT - Static variable in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
ConlluLemmaSampleStream - Class in opennlp.tools.formats.conllu
ConlluLemmaSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Constructor for class opennlp.tools.formats.conllu.ConlluLemmaSampleStream
ConlluLemmaSampleStreamFactory - Class in opennlp.tools.formats.conllu
  Note: Do not use this class, internal use only!
ConlluPOSSampleStream - Class in opennlp.tools.formats.conllu
ConlluPOSSampleStreamFactory - Class in opennlp.tools.formats.conllu
  Note: Do not use this class, internal use only!
ConlluSentence - Class in opennlp.tools.formats.conllu
ConlluSentenceSampleStream - Class in opennlp.tools.formats.conllu
ConlluSentenceSampleStream(ObjectStream<ConlluSentence>, int) - Constructor for class opennlp.tools.formats.conllu.ConlluSentenceSampleStream
ConlluSentenceSampleStreamFactory - Class in opennlp.tools.formats.conllu
ConlluStream - Class in opennlp.tools.formats.conllu
  The CoNNL-U Format is specified here: http://universaldependencies.org/format.html
ConlluStream(InputStreamFactory) - Constructor for class opennlp.tools.formats.conllu.ConlluStream
ConlluTagset - Enum in opennlp.tools.formats.conllu
ConlluTokenSampleStream - Class in opennlp.tools.formats.conllu
ConlluTokenSampleStream(ObjectStream<ConlluSentence>) - Constructor for class opennlp.tools.formats.conllu.ConlluTokenSampleStream
ConlluTokenSampleStreamFactory - Class in opennlp.tools.formats.conllu
ConlluWordLine - Class in opennlp.tools.formats.conllu
CONLLX_FORMAT - Static variable in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
ConllXPOSSampleStream - Class in opennlp.tools.formats
  Parses the data from the CONLL 06 shared task into POS Samples.
ConllXPOSSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream
ConllXPOSSampleStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream
ConllXPOSSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
ConllXSentenceSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
ConllXTokenSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
Cons - Class in opennlp.tools.parser
  Class to hold feature information about a specific parse node.
Cons(String, String, int, boolean) - Constructor for class opennlp.tools.parser.Cons
ConstitParseSampleStream - Class in opennlp.tools.formats.frenchtreebank
ConstitParseSampleStreamFactory - Class in opennlp.tools.formats.frenchtreebank
Constituent - Class in opennlp.tools.parser
  Class used to hold constituents when reading parses.
Constituent(String, Span) - Constructor for class opennlp.tools.parser.Constituent
constructModel() - Method in class opennlp.tools.ml.maxent.io.GISModelReader
  Retrieve a model from disk.
constructModel() - Method in class opennlp.tools.ml.maxent.io.QNModelReader
constructModel() - Method in class opennlp.tools.ml.model.AbstractModelReader
constructModel() - Method in class opennlp.tools.ml.model.GenericModelReader
constructModel() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
  Retrieve a model from disk.
constructModel() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader
  Retrieve a model from disk.
CONT - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Prefix for outcomes continuing a constituent.
contains(StringList) - Method in class opennlp.tools.dictionary.Dictionary
  Checks if this dictionary has the given entry.
contains(String) - Method in class opennlp.tools.dictionary.Index
  Checks if at leat one `StringList` contains the given token.
contains(int) - Method in class opennlp.tools.ml.model.MutableContext
contains(String) - Method in class opennlp.tools.ngram.NGramCharModel
  Checks fit he given tokens are contained by the current instance.
contains(StringList) - Method in class opennlp.tools.ngram.NGramModel
  Checks fit he given tokens are contained by the current instance.
contains(Span) - Method in class opennlp.tools.util.Span
  Returns true if the specified span is contained by this span.
contains(int) - Method in class opennlp.tools.util.Span
  Returns true if the specified index is contained inside this span.
containsComma() - Method in class opennlp.tools.util.featuregen.StringPattern
containsDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
containsHyphen() - Method in class opennlp.tools.util.featuregen.StringPattern
containsLetters() - Method in class opennlp.tools.util.featuregen.StringPattern
containsPeriod() - Method in class opennlp.tools.util.featuregen.StringPattern
containsSlash() - Method in class opennlp.tools.util.featuregen.StringPattern
ContentHandler() - Constructor for class opennlp.tools.formats.muc.SgmlParser.ContentHandler
Context - Class in opennlp.tools.ml.model
  Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
Context(int[], double[]) - Constructor for class opennlp.tools.ml.model.Context
  Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
ContextGenerator<T> - Interface in opennlp.tools.ml.maxent
  Generate contexts for maxent decisions.
CONTINUE - Static variable in class opennlp.tools.namefind.BilouCodec
CONTINUE - Static variable in class opennlp.tools.namefind.BioCodec
CONTINUE - Static variable in class opennlp.tools.namefind.NameFinderME
CONVERGE_TOLERANCE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
convertFuncTag(String, boolean) - Static method in class opennlp.tools.formats.ad.ADChunkSampleStream
correctlyClassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
correctlyClassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
correctlyClassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
correctlyClassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
correctlyClassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
correctlyClassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
count() - Method in class opennlp.tools.util.eval.Mean
  Retrieves the number of times a value was added to the mean.
create(String) - Static method in class opennlp.tools.chunker.ChunkerFactory
create(InputStream, EntryInserter) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
  Creates `Entry`s from the given `InputStream` and forwards these `Entry`s to the `EntryInserter`.
create(String, FeatureGenerator[]) - Static method in class opennlp.tools.doccat.DoccatFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ChunkerSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.DocumentSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory
create(String[]) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.LanguageDetectorSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.LemmatizerSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
create(String[]) - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.NameSampleDataStreamFactory
create(String[]) - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.SentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.TokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.WordTagSampleStreamFactory
create(String) - Static method in class opennlp.tools.langdetect.LanguageDetectorFactory
create(String) - Static method in class opennlp.tools.lemmatizer.LemmatizerFactory
create(String, byte[], Map<String, Object>, SequenceCodec<String>) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory
create(InputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
create(InputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
create(ParserModel, int, double) - Static method in class opennlp.tools.parser.ParserFactory
create(ParserModel) - Static method in class opennlp.tools.parser.ParserFactory
create(InputStream) - Static method in class opennlp.tools.postag.POSDictionary
  Creates a new `POSDictionary` from a provided `InputStream`.
create(String, Dictionary, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory
  Deprecated.
create(String, byte[], Map<String, Object>, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory
create(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
create(String, String, boolean, Dictionary, char[]) - Static method in class opennlp.tools.sentdetect.SentenceDetectorFactory
create(String, String, Dictionary, boolean, Pattern) - Static method in class opennlp.tools.tokenize.TokenizerFactory
  Factory method the framework uses create a new `TokenizerFactory`.
create(String, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory
create(Class<? extends BaseToolFactory>, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
create(InputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
create(InputStream, FeatureGeneratorResourceProvider) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
  Creates an `AdaptiveFeatureGenerator` from an provided XML descriptor.
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory
create(InputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
create(Element, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
  Deprecated.
create() - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
create(InputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer
  Creates the artifact from the provided `InputStream`.
create(InputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer
create(InputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer
create(InputStream) - Method in class opennlp.tools.util.model.DictionarySerializer
create(InputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
create(InputStream) - Method in class opennlp.tools.util.model.POSModelSerializer
create(String[], String[]) - Static method in class opennlp.tools.util.TokenTag
createArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
createArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
createArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
createArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory
  Creates a `Map` with pairs of keys and objects.
createArtifactSerializers() - Static method in class opennlp.tools.namefind.TokenNameFinderModel
  Create the artifact serializers.
createArtifactSerializersMap() - Method in class opennlp.tools.postag.POSTaggerFactory
createArtifactSerializersMap() - Method in class opennlp.tools.util.BaseToolFactory
  Creates a `Map` with pairs of keys and `ArtifactSerializer`.
createContextGenerator() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
createDefaultTrainingParameters() - Static method in class opennlp.tools.util.model.ModelUtil
  Creates the default training parameters in case they are not provided.
createDictionary(ObjectStream<StringList>) - Static method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
  Creates a dictionary.
createDocumentBuilder() - Static method in class opennlp.tools.util.XmlUtil
  Create a new `DocumentBuilder` which processes XML securely.
createEmptyTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
createEndOfSentenceScanner(String) - Method in class opennlp.tools.sentdetect.lang.Factory
createEndOfSentenceScanner(char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
createFeatureGenerators() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
  Creates the `AdaptiveFeatureGenerator`.
createFeatureGenerators() - Method in class opennlp.tools.postag.POSTaggerFactory
  Creates the `AdaptiveFeatureGenerator`.
createFeatures(List<String>, String[], int, String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
  Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Calls the `AdaptiveFeatureGenerator.createFeatures(List, String[], int, String[])` method on all aggregated `AdaptiveFeatureGenerator`s.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownBigramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.InSpanGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PrefixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
  Generates previous decision features for the token based on contents of the previous map.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SentenceFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SuffixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGenerator
createInputStream() - Method in interface opennlp.tools.util.InputStreamFactory
createInputStream() - Method in class opennlp.tools.util.MarkableFileInputStreamFactory
createManifestEntries() - Method in class opennlp.tools.doccat.DoccatFactory
createManifestEntries() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
createManifestEntries() - Method in class opennlp.tools.tokenize.TokenizerFactory
createManifestEntries() - Method in class opennlp.tools.util.BaseToolFactory
  Creates the manifest entries that will be added to the model manifest
createObjectStream(T...) - Static method in class opennlp.tools.util.ObjectStreamUtils
  Creates an `ObjectStream` form an array.
createObjectStream(Collection<T>) - Static method in class opennlp.tools.util.ObjectStreamUtils
  Creates an `ObjectStream` form a collection.
createSaxParser() - Static method in class opennlp.tools.util.XmlUtil
  Create a new `SAXParser` which processes XML securely.
createSentenceContextGenerator(String, Set<String>) - Method in class opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(Set<String>, char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(String) - Method in class opennlp.tools.sentdetect.lang.Factory
createSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
createSequenceValidator() - Method in class opennlp.tools.namefind.BilouCodec
createSequenceValidator() - Method in class opennlp.tools.namefind.BioCodec
createSequenceValidator() - Method in interface opennlp.tools.util.SequenceCodec
  Creates a sequence validator which can validate a sequence of outcomes.
createTagDictionary(File) - Method in class opennlp.tools.postag.POSTaggerFactory
createTagDictionary(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory
createTokenContextGenerator(String, Set<String>) - Method in class opennlp.tools.tokenize.lang.Factory
crosses(Span) - Method in class opennlp.tools.util.Span
  Returns true is the specified span crosses this span.
CrossValidationPartitioner<E> - Class in opennlp.tools.util.eval
  Provides access to training and test partitions for n-fold cross validation.
CrossValidationPartitioner(ObjectStream<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner
  Initializes the current instance.
CrossValidationPartitioner(Collection<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner
  Initializes the current instance.
CrossValidationPartitioner.TrainingSampleStream<E> - Class in opennlp.tools.util.eval
  The `TrainingSampleStream` which iterates over all training elements.
currentVersion() - Static method in class opennlp.tools.util.Version
  Retrieves the current version of the OpenNlp Tools library.
CustomFeatureGenerator - Class in opennlp.tools.util.featuregen
  Deprecated.
CustomFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.CustomFeatureGenerator
  Deprecated.
cutoff(int, int) - Method in class opennlp.tools.ngram.NGramCharModel
  Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
cutoff(int, int) - Method in class opennlp.tools.ngram.NGramModel
  Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
CUTOFF_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer
CUTOFF_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
CUTOFF_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
CUTOFF_PARAM - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
CUTOFF_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
CVParams - Interface in opennlp.tools.cmdline.params
  Common cross validator parameters.

## D

DATA_INDEXER_ONE_PASS_REAL_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_ONE_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_PARAM - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_TWO_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DataIndexer - Interface in opennlp.tools.ml.model
  Object which compresses events in memory and performs feature selection.
DataIndexerFactory - Class in opennlp.tools.ml.model
DataIndexerFactory() - Constructor for class opennlp.tools.ml.model.DataIndexerFactory
DataReader - Interface in opennlp.tools.ml.model
DataStream - Interface in opennlp.tools.ml.maxent
  A interface for objects which can deliver a stream of training data to be supplied to an EventStream.
decode(List<String>) - Method in class opennlp.tools.namefind.BilouCodec
decode(List<String>) - Method in class opennlp.tools.namefind.BioCodec
decode(List<T>) - Method in interface opennlp.tools.util.SequenceCodec
  Decodes a sequence T objects into Span objects.
decodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
  Decodes the lemma from the word and the induced lemma class.
decodeShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil
  Read predicted SES by the lemmatizer model and apply the permutations to obtain the lemma from the wordForm.
DEFAULT_ALPHANUMERIC - Static variable in class opennlp.tools.tokenize.lang.Factory
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.chunker.ChunkerME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.namefind.NameFinderME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.postag.POSTaggerME
DEFAULT_CHUNK_SIZE - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_LANGUAGE_DETECTOR_CONFIG - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MAX_LENGTH - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MIN_CONSEC_IMPROVEMENTS - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MIN_DIFF - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_SEPARATOR_CHARS - Static variable in class opennlp.tools.tokenize.TokenSample
DEFAULT_TYPE - Static variable in class opennlp.tools.namefind.NameSample
  The a default type value when there is no type in training data.
defaultAdvancePercentage - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The default amount of probability mass required of advanced outcomes.
defaultBeamSize - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The default beam size used if no beam size is given.
DefaultChunkerContextGenerator - Class in opennlp.tools.chunker
  Features based on chunking model described in Fei Sha and Fernando Pereira.
DefaultChunkerContextGenerator() - Constructor for class opennlp.tools.chunker.DefaultChunkerContextGenerator
  Creates the default context generator a chunker.
DefaultChunkerSequenceValidator - Class in opennlp.tools.chunker
DefaultChunkerSequenceValidator() - Constructor for class opennlp.tools.chunker.DefaultChunkerSequenceValidator
DefaultEndOfSentenceScanner - Class in opennlp.tools.sentdetect
  Default implementation of the `EndOfSentenceScanner`.
DefaultEndOfSentenceScanner(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
  Initializes the current instance.
defaultEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
DefaultLanguageDetectorContextGenerator - Class in opennlp.tools.langdetect
  A context generator for language detector.
DefaultLanguageDetectorContextGenerator(int, int, CharSequenceNormalizer...) - Constructor for class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator
  Creates a customizable @`DefaultLanguageDetectorContextGenerator` that computes ngrams from text
DefaultLemmatizerContextGenerator - Class in opennlp.tools.lemmatizer
  Simple feature generator for learning statistical lemmatizers.
DefaultLemmatizerContextGenerator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
DefaultLemmatizerSequenceValidator - Class in opennlp.tools.lemmatizer
DefaultLemmatizerSequenceValidator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
DefaultNameContextGenerator - Class in opennlp.tools.namefind
  Class for determining contextual features for a tag/chunk style named-entity recognizer.
DefaultNameContextGenerator() - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator
  Deprecated.
  use the other constructor and always provide the feature generators
DefaultNameContextGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator
  Creates a name context generator with the specified cache size.
defaultParams() - Static method in class opennlp.tools.util.TrainingParameters
DefaultPOSContextGenerator - Class in opennlp.tools.postag
  A context generator for the POS Tagger.
DefaultPOSContextGenerator(Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator
  Initializes the current instance.
DefaultPOSContextGenerator(int, Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator
  Initializes the current instance.
DefaultPOSSequenceValidator - Class in opennlp.tools.postag
DefaultPOSSequenceValidator(TagDictionary) - Constructor for class opennlp.tools.postag.DefaultPOSSequenceValidator
DefaultSDContextGenerator - Class in opennlp.tools.sentdetect
  Generate event contexts for maxent decisions for sentence detection.
DefaultSDContextGenerator(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator
  Creates a new `SDContextGenerator` instance with no induced abbreviations.
DefaultSDContextGenerator(Set<String>, char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator
  Creates a new `SDContextGenerator` instance which uses the set of induced abbreviations.
DefaultTokenContextGenerator - Class in opennlp.tools.tokenize
  Generate events for maxent decisions for tokenization.
DefaultTokenContextGenerator() - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator
  Creates a default context generator for tokenizer.
DefaultTokenContextGenerator(Set<String>) - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator
  Creates a default context generator for tokenizer.
DefinitionFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
DefinitionFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
DetailedFMeasureEvaluatorParams - Interface in opennlp.tools.cmdline.params
  EvaluatorParams for Chunker.
DetokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer
  A default implementation of `EvaluationMonitor` that prints to an output stream.
DetokenEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener
  Creates a listener that will print to System.err
DetokenEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
DetokenizationDictionary - Class in opennlp.tools.tokenize
DetokenizationDictionary(String[], DetokenizationDictionary.Operation[]) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
  Initializes the current instance.
DetokenizationDictionary(InputStream) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
DetokenizationDictionary(File) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
DetokenizationDictionary.Operation - Enum in opennlp.tools.tokenize
detokenize(String[]) - Method in interface opennlp.tools.tokenize.Detokenizer
  Detokenize the input tokens.
detokenize(String[], String) - Method in interface opennlp.tools.tokenize.Detokenizer
  Detokenize the input tokens into a String.
detokenize(String[]) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
detokenize(String[], String) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
Detokenizer - Interface in opennlp.tools.tokenize
  A Detokenizer merges tokens back to their untokenized representation.
Detokenizer.DetokenizationOperation - Enum in opennlp.tools.tokenize
  This enum contains an operation for every token to merge the tokens together to their detokenized form.
DetokenizerEvaluator - Class in opennlp.tools.tokenize
  The `DetokenizerEvaluator` measures the performance of the given `Detokenizer` with the provided reference `TokenSample`s.
DetokenizerEvaluator(Detokenizer, DetokenEvaluationErrorListener...) - Constructor for class opennlp.tools.tokenize.DetokenizerEvaluator
  Initializes the current instance with the given `Detokenizer`.
DetokenizerParameter - Interface in opennlp.tools.cmdline.params
DetokenizerSampleStreamFactory<T> - Class in opennlp.tools.formats
  Base class for factories which need detokenizer.
DetokenizeSentenceSampleStream - Class in opennlp.tools.formats.letsmt
DetokenizeSentenceSampleStream(Detokenizer, ObjectStream<SentenceSample>) - Constructor for class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream
DEV_VERSION - Static variable in class opennlp.tools.util.Version
Dictionary - Class in opennlp.tools.dictionary
  This class is a dictionary.
Dictionary() - Constructor for class opennlp.tools.dictionary.Dictionary
  Initializes an empty `Dictionary`.
Dictionary(boolean) - Constructor for class opennlp.tools.dictionary.Dictionary
Dictionary(InputStream) - Constructor for class opennlp.tools.dictionary.Dictionary
  Initializes the `Dictionary` from an existing dictionary resource.
DictionaryBuilderTool - Class in opennlp.tools.cmdline.dictionary
DictionaryBuilderTool() - Constructor for class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
DictionaryDetokenizer - Class in opennlp.tools.tokenize
  A rule based detokenizer.
DictionaryDetokenizer(DetokenizationDictionary) - Constructor for class opennlp.tools.tokenize.DictionaryDetokenizer
DictionaryDetokenizerTool - Class in opennlp.tools.cmdline.tokenizer
DictionaryDetokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
DictionaryEntryPersistor - Class in opennlp.tools.dictionary.serializer
  This class is used by for reading and writing dictionaries of all kinds.
DictionaryEntryPersistor() - Constructor for class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
DictionaryFeatureGenerator - Class in opennlp.tools.util.featuregen
  The `DictionaryFeatureGenerator` uses the `DictionaryNameFinder` to generated features for detected names based on the `InSpanGenerator`.
DictionaryFeatureGenerator(Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
DictionaryFeatureGenerator(String, Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
DictionaryFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
DictionaryFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
DictionaryLemmatizer - Class in opennlp.tools.lemmatizer
  Lemmatize by simple dictionary lookup into a hashmap built from a file containing, for each line, word\tabpostag\tablemma.
DictionaryLemmatizer(InputStream) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer
  Construct a hashmap from the input tab separated dictionary.
DictionaryLemmatizer(File) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer
DictionaryLemmatizer(Path) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer
DictionaryNameFinder - Class in opennlp.tools.namefind
  This is a dictionary based name finder, it scans text for names inside a dictionary.
DictionaryNameFinder(Dictionary, String) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder
  Initialized the current instance with he provided dictionary and a type.
DictionaryNameFinder(Dictionary) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder
  Initializes the current instance with the provided dictionary.
DictionarySerializer - Class in opennlp.tools.util.model
DictionarySerializer() - Constructor for class opennlp.tools.util.model.DictionarySerializer
digits() - Method in class opennlp.tools.util.featuregen.StringPattern
  Retrieves the number of digits.
dimension() - Method in interface opennlp.tools.util.wordvector.WordVector
dimension() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
DirectorySampleStream - Class in opennlp.tools.formats
  The directory sample stream allows for creating a stream from a directory listing of files.
DirectorySampleStream(File[], FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream
  Creates a new directory sample stream.
DirectorySampleStream(File, FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream
  Creates a new directory sample stream.
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
DoccatConverterTool - Class in opennlp.tools.cmdline.doccat
DoccatConverterTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatConverterTool
DoccatCrossValidator - Class in opennlp.tools.doccat
  Cross validator for document categorization
DoccatCrossValidator(String, TrainingParameters, DoccatFactory, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DoccatCrossValidator
  Creates a `DoccatCrossValidator` with the given `FeatureGenerator`s.
DoccatCrossValidatorTool - Class in opennlp.tools.cmdline.doccat
DoccatCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
DoccatEvaluationErrorListener - Class in opennlp.tools.cmdline.doccat
  A default implementation of `EvaluationMonitor` that prints to an output stream.
DoccatEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener
  Creates a listener that will print to System.err
DoccatEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
DoccatEvaluationMonitor - Interface in opennlp.tools.doccat
  `EvaluationMonitor` for doccat.
DoccatEvaluatorTool - Class in opennlp.tools.cmdline.doccat
DoccatEvaluatorTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
DoccatFactory - Class in opennlp.tools.doccat
  The factory that provides Doccat default implementations and resources
DoccatFactory() - Constructor for class opennlp.tools.doccat.DoccatFactory
  Creates a `DoccatFactory` that provides the default implementation of the resources.
DoccatFactory(FeatureGenerator[]) - Constructor for class opennlp.tools.doccat.DoccatFactory
DoccatFineGrainedReportListener - Class in opennlp.tools.cmdline.doccat
  Generates a detailed report for the POS Tagger.
DoccatFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
  Creates a listener that will print to `System.err`
DoccatFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`
DoccatModel - Class in opennlp.tools.doccat
  A model for document categorization
DoccatModel(String, MaxentModel, Map<String, String>, DoccatFactory) - Constructor for class opennlp.tools.doccat.DoccatModel
DoccatModel(InputStream) - Constructor for class opennlp.tools.doccat.DoccatModel
DoccatModel(File) - Constructor for class opennlp.tools.doccat.DoccatModel
DoccatModel(Path) - Constructor for class opennlp.tools.doccat.DoccatModel
DoccatModel(URL) - Constructor for class opennlp.tools.doccat.DoccatModel
DoccatModelLoader - Class in opennlp.tools.cmdline.doccat
  Loads a Document Categorizer Model for the command line tools.
DoccatModelLoader() - Constructor for class opennlp.tools.cmdline.doccat.DoccatModelLoader
DoccatTool - Class in opennlp.tools.cmdline.doccat
DoccatTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTool
DoccatTrainerTool - Class in opennlp.tools.cmdline.doccat
DoccatTrainerTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTrainerTool
doConstrainedLineSearch(Function, double[], LineSearch.LineSearchResult, double, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch
  Constrained line search (see section 3.2 in the paper "Scalable Training of L1-Regularized Log-Linear Models", Andrew et al.
DOCSTART - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
DOCSTART - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
DocumentBeginFeatureGenerator - Class in opennlp.tools.util.featuregen
DocumentBeginFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
DocumentBeginFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
DocumentBeginFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
DocumentCategorizer - Interface in opennlp.tools.doccat
  Interface for classes which categorize documents.
DocumentCategorizerEvaluator - Class in opennlp.tools.doccat
  The `DocumentCategorizerEvaluator` measures the performance of the given `DocumentCategorizer` with the provided reference `DocumentSample`s.
DocumentCategorizerEvaluator(DocumentCategorizer, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEvaluator
  Initializes the current instance.
DocumentCategorizerEventStream - Class in opennlp.tools.doccat
  Iterator-like class for modeling document classification events.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream
  Initializes the current instance via samples and feature generators.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream
  Initializes the current instance.
DocumentCategorizerME - Class in opennlp.tools.doccat
  Maxent implementation of `DocumentCategorizer`.
DocumentCategorizerME(DoccatModel) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME
  Initializes the current instance with a doccat model.
DocumentNameFinder - Interface in opennlp.tools.namefind
  Name finding interface which processes an entire document allowing the name finder to use context from the entire document.
DocumentSample - Class in opennlp.tools.doccat
  Class which holds a classified document and its category.
DocumentSample(String, String[]) - Constructor for class opennlp.tools.doccat.DocumentSample
DocumentSample(String, String[], Map<String, Object>) - Constructor for class opennlp.tools.doccat.DocumentSample
DocumentSampleStream - Class in opennlp.tools.doccat
  This class reads in string encoded training samples, parses them and outputs `DocumentSample` objects.
DocumentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.doccat.DocumentSampleStream
DocumentSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `DocumentSampleStream`s.
DocumentToLineStream - Class in opennlp.tools.formats.ontonotes
  Reads a plain text file and return each line as a `String` object.
DocumentToLineStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.DocumentToLineStream
doLineSearch(Function, double[], LineSearch.LineSearchResult, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch
  Backtracking line search (see Nocedal & Wright 2006, Numerical Optimization, p.
DONE - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a constituent needs an no additional parent node/building.
doTrain(SequenceStream) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer
doTrain(SequenceStream) - Method in class opennlp.tools.ml.AbstractSequenceTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
doTrain(SequenceStream) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
dropOverlappingSpans(Span[]) - Static method in class opennlp.tools.namefind.NameFinderME
  Removes spans with are intersecting or crossing in anyway.
DynamicEvalParameters - Class in opennlp.tools.ml.model
DynamicEvalParameters(List<? extends Context>, int) - Constructor for class opennlp.tools.ml.model.DynamicEvalParameters
  Creates a set of paramters which can be evaulated with the eval method.

## E

EmojiCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  Normalizer for emojis.
EmojiCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
EmptyLinePreprocessorStream - Class in opennlp.tools.sentdetect
  Stream to to clean up empty lines for empty line separated document streams.
  - Skips empty line at training data start
  - Transforms multiple empty lines in a row into one
  - Replaces white space lines with empty lines
  - TODO: Terminates last document with empty line if it is missing
  This stream should be used by the components that mark empty lines to mark document boundaries.
EmptyLinePreprocessorStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
encode(Span[], int) - Method in class opennlp.tools.namefind.BilouCodec
encode(Span[], int) - Method in class opennlp.tools.namefind.BioCodec
encode(Span[], int) - Method in interface opennlp.tools.util.SequenceCodec
  Encodes Span objects into a sequence of T objects.
encodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
EncodingParameter - Interface in opennlp.tools.cmdline.params
  Encoding parameter.
END_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
endElement(String, String, String) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
endElement(String) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
endElement(String) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
EndOfSentenceScanner - Interface in opennlp.tools.sentdetect
  Scans Strings, StringBuffers, and char[] arrays for the offsets of sentence ending characters.
ENTITY_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
EntityLinker<T extends Span> - Interface in opennlp.tools.entitylinker
  EntityLinkers establish connections to external data to enrich extracted entities.
EntityLinkerFactory - Class in opennlp.tools.entitylinker
  Generates an EntityLinker implementation via properties file configuration
EntityLinkerFactory() - Constructor for class opennlp.tools.entitylinker.EntityLinkerFactory
EntityLinkerProperties - Class in opennlp.tools.entitylinker
  Properties wrapper for the EntityLinker framework
EntityLinkerProperties(File) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties
  Constructor takes location of properties file as arg
EntityLinkerProperties(InputStream) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties
EntityLinkerTool - Class in opennlp.tools.cmdline.entitylinker
EntityLinkerTool() - Constructor for class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
Entry - Class in opennlp.tools.dictionary.serializer
  An `Entry` is a `StringList` which can optionally be mapped to attributes.
Entry(StringList, Attributes) - Constructor for class opennlp.tools.dictionary.serializer.Entry
  Initializes the current instance.
EntryInserter - Interface in opennlp.tools.dictionary.serializer
eosCharacters - Static variable in class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
equals(Object) - Method in class opennlp.tools.chunker.ChunkSample
equals(Object) - Method in class opennlp.tools.dictionary.Dictionary
equals(Object) - Method in class opennlp.tools.doccat.DocumentSample
equals(Object) - Method in class opennlp.tools.entitylinker.BaseLink
equals(Object) - Method in class opennlp.tools.entitylinker.LinkedSpan
equals(Object) - Method in class opennlp.tools.langdetect.Language
equals(Object) - Method in class opennlp.tools.langdetect.LanguageSample
equals(Object) - Method in class opennlp.tools.lemmatizer.LemmaSample
equals(Object) - Method in class opennlp.tools.ml.model.AbstractModel
equals(Object) - Method in class opennlp.tools.ml.model.ComparableEvent
equals(Object) - Method in class opennlp.tools.ml.model.ComparablePredicate
equals(Object) - Method in class opennlp.tools.ml.model.Context
equals(Object) - Method in class opennlp.tools.ml.model.EvalParameters
equals(Object) - Method in class opennlp.tools.ml.model.UniformPrior
equals(Object) - Method in class opennlp.tools.namefind.NameSample
equals(Object) - Method in class opennlp.tools.ngram.NGramCharModel
equals(Object) - Method in class opennlp.tools.ngram.NGramModel
equals(Object) - Method in class opennlp.tools.parser.lang.en.HeadRules
equals(Object) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
equals(Object) - Method in class opennlp.tools.parser.Parse
equals(Object) - Method in class opennlp.tools.postag.POSDictionary
equals(Object) - Method in class opennlp.tools.postag.POSSample
equals(Object) - Method in class opennlp.tools.sentdetect.SentenceSample
equals(Object) - Method in class opennlp.tools.stemmer.snowball.arabicStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.catalanStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.greekStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.irishStemmer
equals(Object) - Method in class opennlp.tools.tokenize.TokenSample
equals(Object) - Method in class opennlp.tools.util.Sequence
equals(Object) - Method in class opennlp.tools.util.Span
  Checks if the specified span is equal to the current span.
equals(Object) - Method in class opennlp.tools.util.StringList
equals(Object) - Method in class opennlp.tools.util.TokenTag
equals(Object) - Method in class opennlp.tools.util.Version
eval(String[]) - Method in class opennlp.tools.ml.maxent.GISModel
  Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.
eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.GISModel
eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel
  Use this model to evaluate a context and return an array of the likelihood of each outcome given that context.
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.maxent.GISModel
  Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.
eval(String[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
eval(String[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Evaluates a context.
eval(String[], double[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Evaluates a context.
eval(String[], float[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Evaluates a contexts with the specified context values.
eval(String[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(String[], float[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(String[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.perceptron.PerceptronModel
EvalitaNameSampleStream - Class in opennlp.tools.formats
  Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream.LANGUAGE - Enum in opennlp.tools.formats
EvalitaNameSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
EvalParameters - Class in opennlp.tools.ml.model
  This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method.
EvalParameters(Context[], int) - Constructor for class opennlp.tools.ml.model.EvalParameters
evaluate(ObjectStream<ChunkSample>, int) - Method in class opennlp.tools.chunker.ChunkerCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<DocumentSample>, int) - Method in class opennlp.tools.doccat.DoccatCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<LanguageSample>, int) - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator
  Starts the evaluation.
evaluate(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.QNMinimizer.Evaluator
  Measure quality of the training parameters
evaluate(ObjectStream<NameSample>, int) - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<Parse>, int) - Method in class opennlp.tools.parser.ParserCrossValidator
evaluate(ObjectStream<POSSample>, int) - Method in class opennlp.tools.postag.POSTaggerCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<SentenceSample>, int) - Method in class opennlp.tools.sentdetect.SDCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<TokenSample>, int) - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<T>) - Method in class opennlp.tools.util.eval.Evaluator
  Reads all sample objects from the stream and evaluates each sample object with `Evaluator.evaluateSample(Object)` method.
evaluateSample(T) - Method in class opennlp.tools.util.eval.Evaluator
  Evaluates the given reference object.
EvaluationMonitor<T> - Interface in opennlp.tools.util.eval
Evaluator<T> - Class in opennlp.tools.util.eval
  The `Evaluator` is an abstract base class for evaluators.
Evaluator(EvaluationMonitor<T>...) - Constructor for class opennlp.tools.util.eval.Evaluator
EvaluatorParams - Interface in opennlp.tools.cmdline.params
  Common evaluation parameters.
Event - Class in opennlp.tools.ml.model
  The context of a decision point during training.
Event(String, String[]) - Constructor for class opennlp.tools.ml.model.Event
Event(String, String[], float[]) - Constructor for class opennlp.tools.ml.model.Event
EVENT_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
EVENT_VALUE - Static variable in interface opennlp.tools.ml.EventTrainer
EventAnnotation - Class in opennlp.tools.formats.brat
EventModelSequenceTrainer - Interface in opennlp.tools.ml
EventTraceStream - Class in opennlp.tools.util
EventTraceStream(ObjectStream<Event>, Writer) - Constructor for class opennlp.tools.util.EventTraceStream
EventTrainer - Interface in opennlp.tools.ml
expandTopNode(Parse) - Method in class opennlp.tools.parser.Parse
Experimental - Annotation Type in opennlp.tools.util.java
  Indicates that the API is not stable.
ExtensionLoader - Class in opennlp.tools.util.ext
  The `ExtensionLoader` is responsible to load extensions to the OpenNLP library.
ExtensionNotLoadedException - Exception in opennlp.tools.util.ext
  Exception indicates that an OpenNLP extension could not be loaded.
ExtensionNotLoadedException(String) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionNotLoadedException(Throwable) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionServiceKeys - Class in opennlp.tools.util.ext
ExtensionServiceKeys() - Constructor for class opennlp.tools.util.ext.ExtensionServiceKeys
extractArtifactSerializerMappings(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.BagOfWordsFeatureGenerator
extractFeatures(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.FeatureGenerator
  Extract features from given text fragments
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.NGramFeatureGenerator
  Extract ngram features from given text fragments
extractTags(TokenTag[]) - Static method in class opennlp.tools.util.TokenTag
extractTokens(TokenTag[]) - Static method in class opennlp.tools.util.TokenTag

## F

Factory - Class in opennlp.tools.sentdetect.lang
Factory() - Constructor for class opennlp.tools.sentdetect.lang.Factory
Factory - Class in opennlp.tools.tokenize.lang
Factory() - Constructor for class opennlp.tools.tokenize.lang.Factory
FeatureGenerator - Interface in opennlp.tools.doccat
  Interface for generating features for document categorization.
FeatureGeneratorResourceProvider - Interface in opennlp.tools.util.featuregen
  The `FeatureGeneratorResourceProvider` provides access to the resources provided in the model.
FeatureGeneratorUtil - Class in opennlp.tools.util.featuregen
  This class provide common utilities for feature generation.
FeatureGeneratorUtil() - Constructor for class opennlp.tools.util.featuregen.FeatureGeneratorUtil
FileEventStream - Class in opennlp.tools.ml.model
  Class for using a file of events as an event stream.
FileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.FileEventStream
  Creates a new file event stream from the specified file name.
FileEventStream(String) - Constructor for class opennlp.tools.ml.model.FileEventStream
FileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.FileEventStream
FileEventStream(File) - Constructor for class opennlp.tools.ml.model.FileEventStream
  Creates a new file event stream from the specified file.
FileToByteArraySampleStream - Class in opennlp.tools.formats.convert
FileToByteArraySampleStream(ObjectStream<File>) - Constructor for class opennlp.tools.formats.convert.FileToByteArraySampleStream
FileToStringSampleStream - Class in opennlp.tools.formats.convert
  Provides the ability to read the contents of files contained in an object stream of files.
FileToStringSampleStream(ObjectStream<File>, Charset) - Constructor for class opennlp.tools.formats.convert.FileToStringSampleStream
  Creates a new file-to-string sample stream.
FilterObjectStream<S,T> - Class in opennlp.tools.util
  Abstract base class for filtering `ObjectStream`s.
find(String, Span[], Span[][], Span[][]) - Method in interface opennlp.tools.entitylinker.EntityLinker
  Links an entire document of named entities to an external source
find(String, Span[], Span[][], Span[][], int) - Method in interface opennlp.tools.entitylinker.EntityLinker
  Links the names that correspond to the tokens[] spans.
find(String[]) - Method in class opennlp.tools.namefind.DictionaryNameFinder
find(String[][]) - Method in interface opennlp.tools.namefind.DocumentNameFinder
  Returns tokens span for the specified document of sentences and their tokens.
find(String[]) - Method in class opennlp.tools.namefind.NameFinderME
find(String[], String[][]) - Method in class opennlp.tools.namefind.NameFinderME
  Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(String[]) - Method in class opennlp.tools.namefind.RegexNameFinder
find(String) - Method in class opennlp.tools.namefind.RegexNameFinder
  NEW.
find(String[]) - Method in interface opennlp.tools.namefind.TokenNameFinder
  Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
FineGrainedEvaluatorParams - Interface in opennlp.tools.cmdline.params
  Common evaluation parameters.
fixPossesives(Parse) - Static method in class opennlp.tools.parser.Parse
FMeasure - Class in opennlp.tools.util.eval
  The `FMeasure` is an utility class for evaluators which measure precision, recall and the resulting f-measure.
FMeasure() - Constructor for class opennlp.tools.util.eval.FMeasure
Function - Interface in opennlp.tools.ml.maxent.quasinewton
  Interface for a function

## G

GapLabeler - Interface in opennlp.tools.parser
  Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.
generate(List<String>, int, String) - Static method in class opennlp.tools.ngram.NGramGenerator
  Creates an ngram separated by the separator param value i.e.
generate(char[], int, String) - Static method in class opennlp.tools.ngram.NGramGenerator
  Generates an nGram based on a char[] input
GENERATE_CELLLINE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_CELLTYPE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_DNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_GPE_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_MISC_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PROTEIN_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_RNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
generateEvents(String[], String[], NameContextGenerator) - Static method in class opennlp.tools.namefind.NameFinderEventStream
generateEvents(String[], String[], Object[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
generateEvents(String[], String[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
generateOutcomes(Span[], String, int) - Static method in class opennlp.tools.namefind.NameFinderEventStream
  Deprecated.
  use the BioCodec implementation of the SequenceValidator instead!
GeneratorFactory - Class in opennlp.tools.util.featuregen
  Creates a set of feature generators based on a provided XML descriptor.
GeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory
GeneratorFactory.AbstractXmlFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
GenericModelReader - Class in opennlp.tools.ml.model
GenericModelReader(File) - Constructor for class opennlp.tools.ml.model.GenericModelReader
GenericModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.GenericModelReader
GenericModelSerializer - Class in opennlp.tools.util.model
GenericModelSerializer() - Constructor for class opennlp.tools.util.model.GenericModelSerializer
GenericModelWriter - Class in opennlp.tools.ml.model
GenericModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.model.GenericModelWriter
GenericModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.model.GenericModelWriter
get(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Returns the probability associated with a label
get() - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Returns the probability associated with a label
get(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Returns the probability associated with a label
get() - Method in class opennlp.tools.ml.naivebayes.Probability
  Returns the probability associated with a label
get(String) - Method in interface opennlp.tools.util.wordvector.WordVectorTable
getAbbreviationDictionary() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getAbbreviationDictionary() - Method in class opennlp.tools.tokenize.TokenizerFactory
  Gets the abbreviation dictionary
getAbbreviations() - Method in class opennlp.tools.sentdetect.SentenceModel
getAbbreviations() - Method in class opennlp.tools.tokenize.TokenizerModel
getAccuracy() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
  Retrieves the accuracy of provided `DocumentCategorizer`.
getAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
  Retrieves the accuracy of provided `DocumentCategorizer`.
getAddictionalContext() - Method in class opennlp.tools.postag.POSSample
getAdditionalContext() - Method in class opennlp.tools.namefind.NameSample
getAddtionalData() - Method in class opennlp.tools.util.TokenTag
getAlgorithm() - Method in class opennlp.tools.ml.AbstractTrainer
getAll() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Returns the probabilities associated with all labels
getAll() - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Returns the probabilities associated with all labels
getAllOutcomes(double[]) - Method in class opennlp.tools.ml.model.AbstractModel
  Return a string matching all the outcome names with all the probabilities produced by the `eval(String[] context)` method.
getAllOutcomes(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Return a string matching all the outcome names with all the probabilities produced by the `eval(String[] context)` method.
getAllPosTags() - Method in class opennlp.tools.postag.POSTaggerME
  Retrieves an array of all possible part-of-speech tags from the tagger.
getAllResults(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  get the name of the category associated with the given probabilties
getAllResults(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getAlphanumeric(String) - Method in class opennlp.tools.tokenize.lang.Factory
  Gets the alpha numeric pattern for the language.
getAlphaNumericPattern() - Method in class opennlp.tools.tokenize.TokenizerFactory
  Gets the alpha numeric pattern.
getAnnotation(String) - Method in class opennlp.tools.formats.brat.BratDocument
getAnnotations() - Method in class opennlp.tools.formats.brat.BratDocument
getArg1() - Method in class opennlp.tools.formats.brat.RelationAnnotation
getArg2() - Method in class opennlp.tools.formats.brat.RelationAnnotation
getArguments() - Method in class opennlp.tools.formats.brat.EventAnnotation
getArtifact(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
  Gets an artifact by name
getArtifact(String) - Method in class opennlp.tools.util.model.BaseModel
getArtifactSerializerClass() - Method in class opennlp.tools.dictionary.Dictionary
  Gets the Serializer Class for `Dictionary`
getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.en.HeadRules
getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSDictionary
getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSModel
getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.BrownCluster
getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.WordClusterDictionary
getArtifactSerializerClass() - Method in interface opennlp.tools.util.model.SerializableArtifact
  Retrieves the class which can serialize and recreate this artifact.
getArtifactSerializerMapping() - Method in interface opennlp.tools.util.featuregen.ArtifactToSerializerMapper
  Deprecated.
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
getAsDouble(int) - Method in interface opennlp.tools.util.wordvector.WordVector
getAsFloat(int) - Method in interface opennlp.tools.util.wordvector.WordVector
getAttachedId() - Method in class opennlp.tools.formats.brat.AnnotatorNoteAnnotation
getAttachedTo() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
getAttachModel() - Method in class opennlp.tools.parser.ParserModel
getAttributes() - Method in class opennlp.tools.dictionary.serializer.Entry
  Retrieves the `Attributes`.
getBestCategory(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  get the best category from previously generated outcome probabilities
getBestCategory(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getBestOutcome(double[]) - Method in class opennlp.tools.ml.model.AbstractModel
  Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
getBestOutcome(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Simple function to return the outcome associated with the index containing the highest probability in the double[].
getBool(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBool(String, boolean) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBooleanParameter(String, boolean) - Method in class opennlp.tools.util.TrainingParameters
  get a Boolean parameter
getBooleanParameter(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters
  get a Boolean parameter in the specified namespace
getBuildModel() - Method in class opennlp.tools.parser.ParserModel
getCachedFeatureGenerator() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
getCategory(int) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  get the category at a given index
getCategory(int) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getCategory() - Method in class opennlp.tools.doccat.DocumentSample
getCheckModel() - Method in class opennlp.tools.parser.ParserModel
getChildCount() - Method in class opennlp.tools.parser.Parse
  Returns the number of children for this parse node.
getChildren() - Method in class opennlp.tools.parser.Parse
  Returns the child constituents of this constituent .
getChunkerModel() - Method in class opennlp.tools.chunker.ChunkerModel
  Deprecated.
  use getChunkerSequenceModel instead. This method will be removed soon.
getChunkerSequenceModel() - Method in class opennlp.tools.chunker.ChunkerModel
getChunkSize() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
  Size in codepoints of chunk to process at each step for the probing detection.
getCommonParent(Parse) - Method in class opennlp.tools.parser.Parse
  Returns the deepest shared parent of this node and the specified node.
getConfidence() - Method in class opennlp.tools.langdetect.Language
getConfidence() - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Returns the best confidence with which this set of probabilities has been calculated.
getConfig() - Method in class opennlp.tools.formats.brat.BratDocument
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.chunker.ChunkerContextGenerator
  Returns the contexts for chunking of the specified index.
getContext(int, String[], String[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(CharSequence) - Method in class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator
  Generates the context for a document using character ngrams.
getContext(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetectorContextGenerator
getContext() - Method in class opennlp.tools.langdetect.LanguageSample
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.lemmatizer.LemmatizerContextGenerator
  Returns the contexts for lemmatizing of the specified index.
getContext(String) - Method in class opennlp.tools.ml.maxent.BasicContextGenerator
  Builds up the list of contextual predicates given a String.
getContext(T) - Method in interface opennlp.tools.ml.maxent.ContextGenerator
  Builds up the list of contextual predicates given an Object.
getContext() - Method in class opennlp.tools.ml.model.Event
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
  Return the context for finding names at the specified index.
getContext(Object) - Method in class opennlp.tools.parser.ChunkContextGenerator
  Deprecated.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
  Deprecated.
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator
getContext(Parse[], int) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator
  Returns the predictive context used to determine how constituent at the specified index should be combined with other contisuents.
getContext(Object) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator
getContext(Parse[], String, int, int) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator
  Returns predictive context for deciding whether the specified constituents between the specified start and end index can be combined to form a new constituent of the specified type.
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
getContext(Parse[], int, List<Parse>, int) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator
getContext(Parse[], int) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator
  Returns the contexts/features for the decision to build a new constituent for the specified parse at the specified index.
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
getContext(Parse, Parse[], int, boolean) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.ConfigurablePOSContextGenerator
  Returns the context for making a pos tag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator
getContext(int, Object[], String[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator
  Returns the context for making a pos tag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Method in interface opennlp.tools.postag.POSContextGenerator
getContext(CharSequence, int) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator
getContext(CharSequence, int) - Method in interface opennlp.tools.sentdetect.SDContextGenerator
  Returns an array of contextual features for the potential sentence boundary at the specified position within the specified string buffer.
getContext(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator
getContext(String, int) - Method in interface opennlp.tools.tokenize.TokenContextGenerator
  Returns an array of features for the specified sentence string at the specified index.
getContext(int, T[], String[], Object[]) - Method in interface opennlp.tools.util.BeamSearchContextGenerator
  Returns the context for the specified position in the specified sequence (list).
getContextGenerator() - Method in class opennlp.tools.chunker.ChunkerFactory
getContextGenerator() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory
getContextGenerator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
getContextGenerator() - Method in class opennlp.tools.parser.ParserChunkerFactory
getContextGenerator() - Method in class opennlp.tools.tokenize.TokenizerFactory
  Gets the context generator
getContexts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getContexts() - Method in interface opennlp.tools.ml.model.DataIndexer
  Returns the array of predicates seen in each event.
getCount(String) - Method in class opennlp.tools.ngram.NGramCharModel
  Retrieves the count of the given ngram.
getCount(StringList) - Method in class opennlp.tools.ngram.NGramModel
  Retrieves the count of the given ngram.
getCoveredText() - Method in class opennlp.tools.formats.brat.SpanAnnotation
getCoveredText() - Method in class opennlp.tools.parser.Parse
getCoveredText(CharSequence) - Method in class opennlp.tools.util.Span
  Retrieves the string covered by the current span of the specified text.
getCurrPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getCutoff() - Method in class opennlp.tools.ml.AbstractTrainer
getData() - Method in interface opennlp.tools.cmdline.params.BasicFormatParams
getDataIndexer(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer
getDataIndexer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.model.DataIndexerFactory
getDataStructures() - Method in class opennlp.tools.ml.model.AbstractModel
  Provides the fundamental data structures which encode the maxent model information.
getDataType() - Method in interface opennlp.tools.util.wordvector.WordVector
getDefaultRegexNameFinders(Map<String, Pattern[]>, RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory
  Allows for use of selected Defaults as well as regexes from external configuration
getDefaultRegexNameFinders(RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory
  Returns a RegexNamefinder that will utilize specified default regexes.
getDeprel() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Universal dependency relation to the HEAD (root iff HEAD = 0) or a defined language-specific subtype of one.
getDeps() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Enhanced dependency graph in the form of a list of head-deprel pairs.
getDerivation() - Method in class opennlp.tools.parser.Parse
  Returns the derivation string for this parse if one has been created.
getDescriptorElements(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
  Provides a list with all the elements in the xml feature descriptor.
getDetailedF() - Method in interface opennlp.tools.cmdline.params.DetailedFMeasureEvaluatorParams
  Deprecated.
getDetokenizer() - Method in interface opennlp.tools.cmdline.params.DetokenizerParameter
getDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
  Deprecated.
  this will be reduced in visibility and later removed
getDictMap() - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
  Get the Map containing the dictionary.
getDimension() - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
getDocument() - Method in class opennlp.tools.sentdetect.SentenceSample
  Retrieves the document.
getDocumentAccuracy() - Method in class opennlp.tools.doccat.DoccatCrossValidator
  Retrieves the accuracy for all iterations.
getDocumentAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator
  Retrieves the accuracy for all iterations.
getDocumentCount() - Method in class opennlp.tools.doccat.DoccatCrossValidator
  Retrieves the number of words which where validated over all iterations.
getDocumentCount() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator
  Retrieves the number of words which where validated over all iterations.
getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
getDouble(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDouble(String, double) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDoubleParameter(String, double) - Method in class opennlp.tools.util.TrainingParameters
  get a Double parameter
getDoubleParameter(String, String, double) - Method in class opennlp.tools.util.TrainingParameters
  get a Double parameter in the specified namespace
getElement(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
  Parse a tree element from a AD line
getElements() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
getEncoding() - Method in interface opennlp.tools.cmdline.params.EncodingParameter
getEnd() - Method in class opennlp.tools.util.Span
  Return the end of a span.
getEndOfSentenceCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
  Deprecated.
getEndOfSentenceCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
  Deprecated.
getEndOfSentenceScanner() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEOSCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getEOSCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
  Returns a set of character which can indicate the end of a sentence.
getEOSCharacters(String) - Method in class opennlp.tools.sentdetect.lang.Factory
getEOSCharacters() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEosCharacters() - Method in class opennlp.tools.sentdetect.SentenceModel
getEvaluator() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
getEventModelSequenceTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
getEvents() - Method in class opennlp.tools.ml.model.Sequence
  Returns the events which make up this sequence.
getEventTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
getEventTrigger() - Method in class opennlp.tools.formats.brat.EventAnnotation
getExtraInformation() - Method in class opennlp.tools.doccat.DocumentSample
getFactory() - Method in class opennlp.tools.chunker.ChunkerModel
getFactory() - Method in class opennlp.tools.doccat.DoccatModel
getFactory() - Method in class opennlp.tools.langdetect.LanguageDetectorModel
getFactory() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
getFactory() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getFactory() - Method in class opennlp.tools.postag.POSModel
getFactory() - Method in class opennlp.tools.sentdetect.SentenceModel
getFactory() - Method in class opennlp.tools.tokenize.TokenizerModel
getFctEvalCount() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFeats() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Retrieve list of morphological features from the universal feature inventory or from a defined language-specific extension; underscore if not available.
getFeatureGenerators() - Method in class opennlp.tools.doccat.DoccatFactory
getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getFloat(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getFloat(String, float) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerCrossValidator
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerEvaluator
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderEvaluator
getFMeasure() - Method in class opennlp.tools.parser.ParserCrossValidator
getFMeasure() - Method in class opennlp.tools.parser.ParserEvaluator
  It returns the fmeasure result.
getFMeasure() - Method in class opennlp.tools.sentdetect.SDCrossValidator
getFMeasure() - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator
getFMeasure() - Method in class opennlp.tools.tokenize.DetokenizerEvaluator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerEvaluator
getFMeasure() - Method in class opennlp.tools.util.eval.FMeasure
  Retrieves the f-measure score.
getFolds() - Method in interface opennlp.tools.cmdline.params.CVParams
getForm() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Retrieve the word form or punctuation symbol.
getFuncChangeRate() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFunctionalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getGenerators() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Retrieves a `Collections` of all aggregated `AdaptiveFeatureGenerator`s.
getGradAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getHead() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Head of the current word, which is either a value of ID or zero (0).
getHead(Parse[], String) - Method in interface opennlp.tools.parser.HeadRules
  Returns the head constituent for the specified constituents of the specified type.
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.en.HeadRules
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getHead() - Method in class opennlp.tools.parser.Parse
  Returns the head constituent associated with this constituent.
getHeadIndex() - Method in class opennlp.tools.parser.Parse
  Returns the index within a sentence of the head token for this parse.
getHeadRules() - Method in class opennlp.tools.parser.ParserModel
getHelp() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
getHelp() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
getHelp() - Method in class opennlp.tools.cmdline.doccat.DoccatTool
getHelp() - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
getHelp() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
getHelp() - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
getHelp() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
getHelp() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
getHelp() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
getHelp() - Method in class opennlp.tools.cmdline.parser.ParserTool
getHelp() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
getHelp() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
getHelp() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
getId() - Method in class opennlp.tools.formats.brat.BratAnnotation
getId() - Method in class opennlp.tools.formats.brat.BratDocument
getId() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Retrieves the word index.
getId() - Method in class opennlp.tools.namefind.NameSample
getIndex(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  get the index of a certain category
getIndex(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getIndex(String) - Method in class opennlp.tools.ml.model.AbstractModel
  Gets the index associated with the String name of the given outcome.
getIndex(String) - Method in interface opennlp.tools.ml.model.MaxentModel
  Gets the index associated with the String name of the given outcome.
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.AbstractParserEventStream
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.ChunkSampleStream
getInitialObject(double, double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Initial linear search object.
getInitialObject(double, double[], double[], double[], double[], int) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getInitialObjectForL1(double, double[], double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Initial linear search object for L1-regularization.
getInitialPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getInstance() - Static method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
getInstance() - Static method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
getInstance() - Static method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
getInstance() - Static method in class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
getInstance() - Static method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
getInt(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getInt(String, int) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getIntParameter(String, int) - Method in class opennlp.tools.util.TrainingParameters
  get an Integer parameter
getIntParameter(String, String, int) - Method in class opennlp.tools.util.TrainingParameters
  get an Integer parameter in the specified namespace
getItemID() - Method in class opennlp.tools.entitylinker.BaseLink
  returns the itemid
getItemName() - Method in class opennlp.tools.entitylinker.BaseLink
  returns the name
getItemParentID() - Method in class opennlp.tools.entitylinker.BaseLink
  Any parent ID for the linked item
getItemType() - Method in class opennlp.tools.entitylinker.BaseLink
  returns the type
getIterations() - Method in class opennlp.tools.ml.AbstractTrainer
getKeys() - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Returns the probabilities associated with all labels
getLabel() - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Returns the probabilities associated with all labels
getLabel() - Method in class opennlp.tools.ml.naivebayes.Probability
  Returns the probabilities associated with all labels
getLabel() - Method in class opennlp.tools.parser.Constituent
  Returns the label of the constituent.
getLabel() - Method in class opennlp.tools.parser.Parse
  Returns the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.
getLabelComparator(Map<String, FineGrainedReportListener.Counter>) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
getLang() - Method in interface opennlp.tools.cmdline.params.LanguageParams
getLang() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
getLang() - Method in class opennlp.tools.formats.LanguageSampleStreamFactory
getLang() - Method in class opennlp.tools.langdetect.Language
getLanguage() - Method in class opennlp.tools.langdetect.LanguageSample
getLanguage() - Method in interface opennlp.tools.util.model.ArtifactProvider
  Retrieves the language code of the material which was used to train the model or x-unspecified if non was set.
getLanguage() - Method in class opennlp.tools.util.model.BaseModel
  Retrieves the language code of the material which was used to train the model or x-unspecified if non was set.
getLanguageCode() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getLanguageCode() - Method in class opennlp.tools.tokenize.TokenizerFactory
  Retrieves the language code.
getLanguages() - Method in class opennlp.tools.langdetect.ProbingLanguageDetectionResult
getLemma() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLemma() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Retrieve the lemma or stem of the word form.
getLemmas() - Method in class opennlp.tools.lemmatizer.LemmaSample
getLemmatizerSequenceModel() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
getLength() - Method in class opennlp.tools.langdetect.ProbingLanguageDetectionResult
getLevel() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getLexeme() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLinkedEntries() - Method in class opennlp.tools.entitylinker.LinkedSpan
  Returns the n best linked entries from an external data source.
getLinker(String, EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory
getLinker(EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory
getLog(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Returns the log probability associated with a label
getLog() - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Returns the log probability associated with a label
getLog(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Returns the log probability associated with a label
getLog() - Method in class opennlp.tools.ml.naivebayes.Probability
  Returns the log probability associated with a label
getLong(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getLong(String, long) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getMajor() - Method in class opennlp.tools.util.Version
  Retrieves the major version.
getManifestProperty(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
  Retrieves the value to the given key from the manifest.properties entry.
getManifestProperty(String) - Method in class opennlp.tools.util.model.BaseModel
  Retrieves the value to the given key from the manifest.properties entry.
getMatrixLabelComparator(Map<String, FineGrainedReportListener.ConfusionMatrixLine>) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
getMax() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Returns the most likely label
getMax() - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Returns the most likely label
getMaxentModel() - Method in class opennlp.tools.doccat.DoccatModel
getMaxentModel() - Method in class opennlp.tools.langdetect.LanguageDetectorModel
getMaxentModel() - Method in class opennlp.tools.sentdetect.SentenceModel
getMaxentModel() - Method in class opennlp.tools.tokenize.TokenizerModel
getMaxLength() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
  Maximum length in codepoints of text to process.
getMaxTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMaxValue() - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Returns the probability of the most likely label
getMetadata() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getMinConsecImprovements() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
  Minimum number of consecutive increased probabilities for the top language required in probing detection to stop early.
getMinDiff() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
  Minimum difference in confidence between the top predicted language and the next most likely language.
getMinor() - Method in class opennlp.tools.util.Version
  Retrieves the minor version.
getMinTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMisc() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Retrieve any other annotation.
getMisclassified() - Method in interface opennlp.tools.cmdline.params.CVParams
getMisclassified() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Method in interface opennlp.tools.cmdline.params.TrainingToolParams
getModel() - Method in class opennlp.tools.ml.model.AbstractModelReader
getModelType() - Method in class opennlp.tools.ml.model.AbstractModel
getMorphologicalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getmPatterns() - Method in class opennlp.tools.namefind.RegexNameFinder
getName() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
getName() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
getNameCounters() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getNameFinderSequenceModel() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getNames() - Method in class opennlp.tools.namefind.NameSample
getNextPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getNextPunctuationSet() - Method in class opennlp.tools.parser.Parse
  Returns the set of punctuation parses that occur immediately after this parse.
getNgramDictionary() - Method in class opennlp.tools.postag.POSModel
  Retrieves the ngram dictionary.
getNGrams(StringList, int) - Static method in class opennlp.tools.ngram.NGramUtils
  Get the ngrams of dimension n of a certain input sequence of tokens.
getNGrams(String[], int) - Static method in class opennlp.tools.ngram.NGramUtils
  Get the ngrams of dimension n of a certain input sequence of tokens.
getNMinusOneTokenFirst(StringList) - Static method in class opennlp.tools.ngram.NGramUtils
  get the (n-1)th ngram of a given ngram, that is the same ngram except the last word in the ngram
getNMinusOneTokenLast(StringList) - Static method in class opennlp.tools.ngram.NGramUtils
  get the (n-1)th ngram of a given ngram, that is the same ngram except the first word in the ngram
getNonTokenizedText() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getNote() - Method in class opennlp.tools.formats.brat.BratAnnotation
getNumberOfCacheHits() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
  Retrieves the number of times a cache hit occurred.
getNumberOfCacheMisses() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
  Retrieves the number of times a cache miss occurred.
getNumberOfCategories() - Method in interface opennlp.tools.doccat.DocumentCategorizer
  get the number of categories
getNumberOfCategories() - Method in class opennlp.tools.doccat.DocumentCategorizerME
getNumEvents() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getNumEvents() - Method in interface opennlp.tools.ml.model.DataIndexer
  Returns the number of total events indexed.
getNumOutcomes() - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
getNumOutcomes() - Method in class opennlp.tools.ml.model.AbstractModel
getNumOutcomes() - Method in class opennlp.tools.ml.model.DynamicEvalParameters
getNumOutcomes() - Method in class opennlp.tools.ml.model.EvalParameters
getNumOutcomes() - Method in interface opennlp.tools.ml.model.MaxentModel
  Returns the number of outcomes for this model.
getNumTimesEventsSeen() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getNumTimesEventsSeen() - Method in interface opennlp.tools.ml.model.DataIndexer
  Returns an array indicating the number of times a particular event was seen.
getObjectSettings(String) - Method in class opennlp.tools.util.TrainingParameters
  Retrieves a map with the training parameters which have the passed name space.
getObjectSettings() - Method in class opennlp.tools.util.TrainingParameters
  Retrieves all parameters without a name space.
getOntoNotesDir() - Method in interface opennlp.tools.formats.ontonotes.OntoNotesFormatParameters
getOrderedTags(List<String>, List<String>, int) - Method in class opennlp.tools.postag.POSTaggerME
getOrderedTags(List<String>, List<String>, int, double[]) - Method in class opennlp.tools.postag.POSTaggerME
getOriginal() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getOutcome(int) - Method in class opennlp.tools.ml.model.AbstractModel
  Return the name of an outcome corresponding to an int id.
getOutcome() - Method in class opennlp.tools.ml.model.Event
getOutcome(int) - Method in interface opennlp.tools.ml.model.MaxentModel
  Gets the String name of the outcome associated with the index i.
getOutcomeLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeLabels() - Method in interface opennlp.tools.ml.model.DataIndexer
  Returns an array of outcome names.
getOutcomeList() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeList() - Method in interface opennlp.tools.ml.model.DataIndexer
  Returns an array indicating the outcome index for each event.
getOutcomes() - Method in class opennlp.tools.ml.BeamSearch
getOutcomes() - Method in class opennlp.tools.ml.model.Context
  Returns the outcomes for which parameters exists for this context.
getOutcomes() - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
  Returns all possible outcomes.
getOutcomes() - Method in class opennlp.tools.util.Sequence
  Returns a list of outcomes for this sequence.
getOutcomeTotals() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getParameters() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
getParameters() - Method in class opennlp.tools.ml.model.Context
  Returns the parameters or expected values for the outcomes which occur with this context.
getParameters(String) - Method in class opennlp.tools.util.TrainingParameters
getParams() - Method in interface opennlp.tools.cmdline.params.BasicTrainingParams
getParams() - Method in class opennlp.tools.ml.model.DynamicEvalParameters
getParams() - Method in class opennlp.tools.ml.model.EvalParameters
getParent() - Method in class opennlp.tools.parser.Parse
  Returns the parent parse node of this constituent.
getParserChunkerModel() - Method in class opennlp.tools.parser.ParserModel
getParserTaggerModel() - Method in class opennlp.tools.parser.ParserModel
getParserType() - Method in class opennlp.tools.parser.ParserModel
getPhrasesAsSpanList() - Method in class opennlp.tools.chunker.ChunkSample
  Gets the phrases as an array of spans
getPOSContextGenerator() - Method in class opennlp.tools.postag.POSTaggerFactory
getPOSContextGenerator(int) - Method in class opennlp.tools.postag.POSTaggerFactory
getPositions(String) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(char[]) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(String) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
  The receiver scans the specified string for sentence ending characters and returns their offsets.
getPositions(StringBuffer) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
  The receiver scans `buf' for sentence ending characters and returns their offsets.
getPositions(char[]) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
  The receiver scans `cbuf' for sentence ending characters and returns their offsets.
getPosModel() - Method in class opennlp.tools.postag.POSModel
  Deprecated.
  use getPosSequenceModel instead. This method will be removed soon. Only required for Parser 1.5.x backward compatibility. Newer models don't need this anymore.
getPosSequenceModel() - Method in class opennlp.tools.postag.POSModel
getPosTag(ConlluTagset) - Method in class opennlp.tools.formats.conllu.ConlluWordLine
  Retrieve the Universal part-of-speech tag or the language-specific part-of-speech tag; underscore if not available.
getPrecisionScore() - Method in class opennlp.tools.util.eval.FMeasure
  Retrieves the arithmetic mean of the precision scores calculated for each evaluated sample.
getPredCounts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getPredCounts() - Method in interface opennlp.tools.ml.model.DataIndexer
  Returns an array of the count of each predicate in the events.
getPredLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getPredLabels() - Method in interface opennlp.tools.ml.model.DataIndexer
  Returns an array of predicate/context names.
getPreds() - Method in class opennlp.tools.chunker.ChunkSample
  Gets the Chunk tags in B-* I-* notation
getPreviousPunctuationSet() - Method in class opennlp.tools.parser.Parse
  Returns the set of punctuation parses that occur immediately before this parse.
getProb() - Method in class opennlp.tools.parser.Parse
  Returns the log of the product of the probability associated with all the decisions which formed this constituent.
getProb() - Method in class opennlp.tools.util.Span
getProbs() - Method in class opennlp.tools.util.Sequence
  Returns an array of probabilities associated with the outcomes of this sequence.
getProbs(double[]) - Method in class opennlp.tools.util.Sequence
  Populates an array with the probabilities associated with the outcomes of this sequence.
getProperty(String, String) - Method in class opennlp.tools.entitylinker.EntityLinkerProperties
  Gets a property from the props file.
getPseudoGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getPunctuationTags() - Method in interface opennlp.tools.parser.HeadRules
  Returns the set of punctuation tags.
getPunctuationTags() - Method in class opennlp.tools.parser.lang.en.HeadRules
getPunctuationTags() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getRecallScore() - Method in class opennlp.tools.util.eval.FMeasure
  Retrieves the arithmetic mean of the recall score calculated for each evaluated sample.
getRegexMap() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getReportOutputFile() - Method in interface opennlp.tools.cmdline.params.FineGrainedEvaluatorParams
getResource(String) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider
  Retrieves the resource object for the given name/identifier.
getResultBuffer() - Method in class opennlp.tools.stemmer.PorterStemmer
  Returns a reference to a character buffer containing the results of the stemming process.
getResultLength() - Method in class opennlp.tools.stemmer.PorterStemmer
  Returns the length of the word resulting from the stemming process.
getRevision() - Method in class opennlp.tools.util.Version
  Retrieves the revision version.
getRightFrontier(Parse, Set<String>) - Static method in class opennlp.tools.parser.treeinsert.Parser
  Returns the right frontier of the specified parse tree with nodes ordered from deepest to shallowest.
getRoot() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getScore() - Method in class opennlp.tools.util.Sequence
  Returns the score of this sequence.
getScoreMap() - Method in class opennlp.tools.entitylinker.BaseLink
getSDContextGenerator() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getSearchTerm() - Method in class opennlp.tools.entitylinker.LinkedSpan
  Returns the search term that was used to link this span to an external data source
getSecondaryTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getSegments() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument
getSentence() - Method in class opennlp.tools.chunker.ChunkSample
  Gets the training sentence
getSentence() - Method in class opennlp.tools.namefind.NameSample
getSentence() - Method in class opennlp.tools.postag.POSSample
getSentenceCount() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getSentenceid() - Method in class opennlp.tools.entitylinker.LinkedSpan
  Returns the id or index of the sentence from which this span was extracted
getSentenceIdComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Returns the probabilities associated with the most recent calls to sentDetect().
getSentences() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
getSentences() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument
getSentences() - Method in class opennlp.tools.sentdetect.SentenceSample
  Retrieves the sentences.
getSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getSequenceModelTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
getSequenceValidator() - Method in class opennlp.tools.chunker.ChunkerFactory
getSequenceValidator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
getSequenceValidator() - Method in class opennlp.tools.parser.ParserChunkerFactory
getSequenceValidator() - Method in class opennlp.tools.postag.POSTaggerFactory
getSettings(String) - Method in class opennlp.tools.util.TrainingParameters
  Deprecated.
  use `TrainingParameters.getObjectSettings(String)` instead
getSettings() - Method in class opennlp.tools.util.TrainingParameters
  Deprecated.
  use `TrainingParameters.getObjectSettings()` instead
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
getShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil
  Get the SES required to go from a word to a lemma.
getSignVector() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getSource() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getSource() - Method in class opennlp.tools.ml.model.Sequence
  Returns an object from which this sequence can be derived.
getSpan() - Method in class opennlp.tools.parser.Constituent
  Returns the span of the constituent.
getSpan() - Method in class opennlp.tools.parser.Parse
  Returns the character offsets for this constituent.
getSpans() - Method in class opennlp.tools.formats.brat.SpanAnnotation
getStart() - Method in class opennlp.tools.util.Span
  Return the start of a span.
getStepSize() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getStr(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStr(String, String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStringParameter(String, String) - Method in class opennlp.tools.util.TrainingParameters
  get a String parameter.
getStringParameter(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
  get a String parameter in the specified namespace.
getsType() - Method in class opennlp.tools.namefind.RegexNameFinder
getSupportedLanguages() - Method in interface opennlp.tools.langdetect.LanguageDetector
getSupportedLanguages() - Method in class opennlp.tools.langdetect.LanguageDetectorME
getSurface() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
getSyntacticTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getTag() - Method in class opennlp.tools.util.TokenTag
getTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
getTagNodes() - Method in class opennlp.tools.parser.Parse
  Returns the parse nodes which are children of this node and which are pos tags.
getTags() - Method in class opennlp.tools.chunker.ChunkSample
  Gets the POS Tags for the sentence
getTags() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTags(String) - Method in class opennlp.tools.postag.POSDictionary
  Returns a list of valid tags for the specified word.
getTags() - Method in class opennlp.tools.postag.POSSample
getTags(String) - Method in interface opennlp.tools.postag.TagDictionary
  Returns a list of valid tags for the specified word.
getTagSequenceProb() - Method in class opennlp.tools.parser.Parse
  Returns the probability associated with the pos-tag sequence assigned to this parse.
getTestSampleStream() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
  Retrieves the `ObjectStream` over the test/evaluations elements and poisons this `TrainingSampleStream`.
getText() - Method in class opennlp.tools.doccat.DocumentSample
getText() - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
getText() - Method in class opennlp.tools.formats.brat.BratDocument
getText() - Method in class opennlp.tools.parser.Parse
  Returns the text of the sentence over which this parse was formed.
getText() - Method in class opennlp.tools.tokenize.TokenSample
  Retrieves the text.
getTextComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getToken(int) - Method in class opennlp.tools.util.StringList
  Retrieves a token from the given index.
getToken() - Method in class opennlp.tools.util.TokenTag
getTokenCount() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getTokenNodes() - Method in class opennlp.tools.parser.Parse
getTokenProbabilities() - Method in class opennlp.tools.tokenize.TokenizerME
  Returns the probabilities associated with the most recent calls to `AbstractTokenizer.tokenize(String)` or `TokenizerME.tokenizePos(String)`.
getTokens() - Method in class opennlp.tools.dictionary.serializer.Entry
  Retrieves the tokens.
getTokens() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTokens() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getTokens() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTokenSample() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTokenSpans() - Method in class opennlp.tools.tokenize.TokenSample
  Retrieves the token spans.
getTrainerType(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory
  Determines the trainer type based on the ALGORITHM_PARAM value.
getTranslation() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getType() - Method in class opennlp.tools.formats.brat.BratAnnotation
getType() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getType() - Method in class opennlp.tools.parser.Parse
  Returns the constituent label for this node of the parse.
getType() - Method in class opennlp.tools.util.Span
  Retrieves the type of the span.
getTypeClass(String) - Method in class opennlp.tools.formats.brat.AnnotationConfiguration
getValue(String) - Method in class opennlp.tools.dictionary.serializer.Attributes
  Retrieves the value for the given key or null if attribute it not set.
getValue() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
getValue() - Method in class opennlp.tools.util.MutableInt
getValueAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValueAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValues() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getValues() - Method in interface opennlp.tools.ml.model.DataIndexer
  Returns the values associated with each event context or null if integer values are to be used.
getValues() - Method in class opennlp.tools.ml.model.Event
getValues() - Method in class opennlp.tools.ml.model.OnePassRealValueDataIndexer
getVersion() - Method in class opennlp.tools.util.model.BaseModel
  Retrieves the OpenNLP version which was used to create the model.
getVocabulary() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getWordAccuracy() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator
  Retrieves the word accuracy.
getWordAccuracy() - Method in class opennlp.tools.postag.POSEvaluator
  Retrieves the word accuracy.
getWordAccuracy() - Method in class opennlp.tools.postag.POSTaggerCrossValidator
  Retrieves the accuracy for all iterations.
getWordClasses(String, BrownCluster) - Static method in class opennlp.tools.util.featuregen.BrownTokenClasses
  It provides a list containing the pathLengths for a token if found in the Map:token,BrownClass.
getWordCount() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator
  Retrieves the total number of words considered in the evaluation.
getWordCount() - Method in class opennlp.tools.postag.POSEvaluator
  Retrieves the total number of words considered in the evaluation.
getWordCount() - Method in class opennlp.tools.postag.POSTaggerCrossValidator
  Retrieves the number of words which where validated over all iterations.
getWordLines() - Method in class opennlp.tools.formats.conllu.ConlluSentence
GISModel - Class in opennlp.tools.ml.maxent
  A maximum entropy model which has been trained using the Generalized Iterative Scaling procedure (implemented in GIS.java).
GISModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.GISModel
  Creates a new model with the specified parameters, outcome names, and predicate/feature labels.
GISModel(Context[], String[], String[], Prior) - Constructor for class opennlp.tools.ml.maxent.GISModel
  Creates a new model with the specified parameters, outcome names, and predicate/feature labels.
GISModelReader - Class in opennlp.tools.ml.maxent.io
  Abstract parent class for readers of GISModels.
GISModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader
GISModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader
GISModelWriter - Class in opennlp.tools.ml.maxent.io
  Abstract parent class for GISModel writers.
GISModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.GISModelWriter
GISTrainer - Class in opennlp.tools.ml.maxent
  An implementation of Generalized Iterative Scaling.
GISTrainer() - Constructor for class opennlp.tools.ml.maxent.GISTrainer
  Creates a new `GISTrainer` instance which does not print progress messages about training to STDOUT.
Glove - Class in opennlp.tools.util.wordvector
  Warning: Experimental new feature, see OPENNLP-1144 for details, the API might be changed anytime.
gradientAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
  Compute gradient
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood
  Compute gradient
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
greekStemmer - Class in opennlp.tools.stemmer.snowball
  This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
greekStemmer() - Constructor for class opennlp.tools.stemmer.snowball.greekStemmer

## H

hashCode() - Method in class opennlp.tools.chunker.ChunkSample
hashCode() - Method in class opennlp.tools.dictionary.Dictionary
hashCode() - Method in class opennlp.tools.doccat.DocumentSample
hashCode() - Method in class opennlp.tools.entitylinker.BaseLink
hashCode() - Method in class opennlp.tools.entitylinker.LinkedSpan
hashCode() - Method in class opennlp.tools.langdetect.Language
hashCode() - Method in class opennlp.tools.langdetect.LanguageSample
hashCode() - Method in class opennlp.tools.lemmatizer.LemmaSample
hashCode() - Method in class opennlp.tools.ml.model.AbstractModel
hashCode() - Method in class opennlp.tools.ml.model.ComparableEvent
hashCode() - Method in class opennlp.tools.ml.model.ComparablePredicate
hashCode() - Method in class opennlp.tools.ml.model.Context
hashCode() - Method in class opennlp.tools.ml.model.EvalParameters
hashCode() - Method in class opennlp.tools.ml.model.UniformPrior
hashCode() - Method in class opennlp.tools.namefind.NameSample
hashCode() - Method in class opennlp.tools.ngram.NGramCharModel
hashCode() - Method in class opennlp.tools.ngram.NGramModel
hashCode() - Method in class opennlp.tools.parser.lang.en.HeadRules
hashCode() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
hashCode() - Method in class opennlp.tools.parser.Parse
hashCode() - Method in class opennlp.tools.postag.POSDictionary
hashCode() - Method in class opennlp.tools.postag.POSSample
hashCode() - Method in class opennlp.tools.sentdetect.SentenceSample
hashCode() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.catalanStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.greekStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.irishStemmer
hashCode() - Method in class opennlp.tools.tokenize.TokenSample
hashCode() - Method in class opennlp.tools.util.Sequence
hashCode() - Method in class opennlp.tools.util.Span
  Generates a hash code of the current span.
hashCode() - Method in class opennlp.tools.util.StringList
hashCode() - Method in class opennlp.tools.util.TokenTag
hashCode() - Method in class opennlp.tools.util.Version
HashSumEventStream - Class in opennlp.tools.ml.model
HashSumEventStream(ObjectStream<Event>) - Constructor for class opennlp.tools.ml.model.HashSumEventStream
hasNext() - Method in interface opennlp.tools.ml.maxent.DataStream
  Test whether there are any Events remaining in this EventStream.
hasNext() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
hasNext() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
  Checks if there are more partitions available.
hasNext() - Method in class opennlp.tools.util.ReverseListIterator
hasParams() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
HeadRules - Interface in opennlp.tools.parser
  Interface for encoding the head rules associated with parsing.
HeadRules - Class in opennlp.tools.parser.lang.en
  Class for storing the English head rules associated with parsing.
HeadRules(String) - Constructor for class opennlp.tools.parser.lang.en.HeadRules
  Deprecated.
HeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.en.HeadRules
  Creates a new set of head rules based on the specified reader.
HeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.en
HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer

## I

ID - Static variable in class opennlp.tools.util.ext.ExtensionServiceKeys
  Property key for the unique id which identifies an OSGi OpenNLP extension service.
INC_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The label for the top if an incomplete node.
INCOMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Outcome used when a constituent is incomplete.
increment() - Method in class opennlp.tools.util.MutableInt
Index - Class in opennlp.tools.dictionary
  This classes indexes `StringList`s.
Index(Iterator<StringList>) - Constructor for class opennlp.tools.dictionary.Index
  Initializes the current instance with the given `StringList` `Iterator`.
index(ObjectStream<Event>) - Method in interface opennlp.tools.ml.model.DataIndexer
  Performs the data indexing.
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.OnePassDataIndexer
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.TwoPassDataIndexer
indexOf(Parse) - Method in class opennlp.tools.parser.Parse
  Returns the index of this specified child.
indonesianStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
indonesianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.indonesianStemmer
init(EntityLinkerProperties) - Method in interface opennlp.tools.entitylinker.EntityLinker
  allows for passing properties through the EntityLinkerFactory into all impls dynamically.
init() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer
init(Map<String, String>, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer
  Deprecated.
init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer
  Deprecated.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer
init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.EventTrainer
  Deprecated.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.EventTrainer
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.GISTrainer
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
init(Map<String, String>, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  Deprecated.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.model.AbstractDataIndexer
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.model.DataIndexer
  Sets parameters used during the data indexing.
init(Map<String, String>, Map<String, String>) - Method in interface opennlp.tools.ml.SequenceTrainer
  Deprecated.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.SequenceTrainer
init() - Method in class opennlp.tools.parser.treeinsert.ParserEventStream
init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class opennlp.tools.util.featuregen.CustomFeatureGenerator
  Deprecated.
  Initialized the Custom Feature Generator with defined properties and loaded resources.
INITIAL_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
innerProduct(double[], double[]) - Static method in class opennlp.tools.ml.ArrayMath
InputStreamFactory - Interface in opennlp.tools.util
  Allows repeated reads through a stream for certain types of model building.
insert(Entry) - Method in interface opennlp.tools.dictionary.serializer.EntryInserter
insert(Parse) - Method in class opennlp.tools.parser.Parse
  Inserts the specified constituent into this parse based on its text span.This method assumes that the specified constituent can be inserted into this parse.
InSpanGenerator - Class in opennlp.tools.util.featuregen
  Generates features if the tokens are recognized by the provided `TokenNameFinder`.
InSpanGenerator(String, TokenNameFinder) - Constructor for class opennlp.tools.util.featuregen.InSpanGenerator
  Initializes the current instance.
INSTANCE - Static variable in class opennlp.tools.tokenize.SimpleTokenizer
INSTANCE - Static variable in class opennlp.tools.tokenize.WhitespaceTokenizer
  Use this static reference to retrieve an instance of the `WhitespaceTokenizer`.
instantiateExtension(Class<T>, String) - Static method in class opennlp.tools.util.ext.ExtensionLoader
  Instantiates an user provided extension to OpenNLP.
instantiateSequenceCodec(String) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory
InsufficientTrainingDataException - Exception in opennlp.tools.util
  This exception indicates that the provided training data is insufficient to train the desired model.
InsufficientTrainingDataException() - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(String) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(String, Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
intersects(Span) - Method in class opennlp.tools.util.Span
  Returns true if the specified span intersects with this span.
InvalidFormatException - Exception in opennlp.tools.util
  This exception indicates that a resource violates the expected data format.
InvalidFormatException() - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(String) - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(String, Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
invL2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Inverse L2-norm
IrishSentenceBankDocument - Class in opennlp.tools.formats.irishsentencebank
  A structure to hold an Irish Sentence Bank document, which is a collection of tokenized sentences.
IrishSentenceBankDocument() - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
IrishSentenceBankDocument.IrishSentenceBankFlex - Class in opennlp.tools.formats.irishsentencebank
IrishSentenceBankDocument.IrishSentenceBankSentence - Class in opennlp.tools.formats.irishsentencebank
IrishSentenceBankFlex(String, String[]) - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
IrishSentenceBankSentence(String, String, String, Span[], IrishSentenceBankDocument.IrishSentenceBankFlex[]) - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
IrishSentenceBankSentenceStreamFactory - Class in opennlp.tools.formats.irishsentencebank
IrishSentenceBankTokenSampleStreamFactory - Class in opennlp.tools.formats.irishsentencebank
irishStemmer - Class in opennlp.tools.stemmer.snowball
  This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
irishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.irishStemmer
isAllCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllHiragana() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllKatakana() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllLowerCaseLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isCaseSensitive() - Method in interface opennlp.tools.postag.MutableTagDictionary
  Whether if the dictionary is case sensitive or not
isCaseSensitive() - Method in class opennlp.tools.postag.POSDictionary
isChunk(boolean) - Method in class opennlp.tools.parser.Parse
isChunk() - Method in class opennlp.tools.parser.Parse
isClearAdaptiveDataSet() - Method in class opennlp.tools.namefind.NameSample
isEmpty(CharSequence) - Static method in class opennlp.tools.util.StringUtil
  Returns `true` if `CharSequence.length()` is `0` or `null`.
isFlat() - Method in class opennlp.tools.parser.Parse
  Returns true if this constituent contains no sub-constituents.
isInitialCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Checks if a probability is greater than the old one.
isLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.Probability
  Checks if a probability is greater than the old one.
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
isLoadedFromSerialized() - Method in interface opennlp.tools.util.model.ArtifactProvider
  Indicates if this provider was loaded from serialized.
isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel
isOSGiEnvironment() - Method in exception opennlp.tools.util.ext.ExtensionNotLoadedException
  Indicates if OpenNLP is running in an OSGi environment or not.
isPosTag() - Method in class opennlp.tools.parser.Parse
  Indicates whether this parse node is a pos-tag.
isSnapshot() - Method in class opennlp.tools.util.Version
isSortAndMerge() - Method in class opennlp.tools.ml.AbstractEventTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.maxent.GISTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
isUseAlphaNumericOptmization() - Method in class opennlp.tools.tokenize.TokenizerFactory
  Gets whether to use alphanumeric optimization.
isUseTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
isValid() - Method in class opennlp.tools.ml.AbstractEventTrainer
  Deprecated.
isValid() - Method in class opennlp.tools.ml.AbstractTrainer
  Deprecated.
  Use `AbstractTrainer.validate()` instead.
isValid() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  Deprecated.
isValid() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Deprecated.
isValid() - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
  Deprecated.
isValid(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory
isWhitespace(char) - Static method in class opennlp.tools.util.StringUtil
  Determines if the specified character is a whitespace.
isWhitespace(int) - Static method in class opennlp.tools.util.StringUtil
  Determines if the specified character is a whitespace.
ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer
ITERATIONS_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
ITERATIONS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
iterator() - Method in class opennlp.tools.dictionary.Dictionary
  Retrieves an Iterator over all tokens.
iterator() - Method in class opennlp.tools.dictionary.serializer.Attributes
  Iterates over the keys.
iterator() - Method in class opennlp.tools.ngram.NGramCharModel
  Retrieves an `Iterator` over all `String` entries.
iterator() - Method in class opennlp.tools.ngram.NGramModel
  Retrieves an `Iterator` over all `StringList` entries.
iterator() - Method in class opennlp.tools.postag.POSDictionary
  Retrieves an iterator over all words in the dictionary.
iterator() - Method in class opennlp.tools.util.StringList
  Retrieves an `Iterator` over all tokens.

## J

jpnEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory

## L

L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
L1COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
l1norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  L1-norm
L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
L2COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
l2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  L2-norm
L2RegFunction(Function, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
labelGaps(Stack<Constituent>) - Method in interface opennlp.tools.parser.GapLabeler
  Labels the constituents found in the stack with gap labels if appropriate.
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.en.HeadRules
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
Language - Class in opennlp.tools.langdetect
  Class for holding the document language and its confidence
Language(String) - Constructor for class opennlp.tools.langdetect.Language
Language(String, double) - Constructor for class opennlp.tools.langdetect.Language
LanguageDetector - Interface in opennlp.tools.langdetect
  The interface for LanguageDetector which provide the @`Language` according to the context.
LanguageDetectorConfig - Class in opennlp.tools.langdetect
LanguageDetectorConfig() - Constructor for class opennlp.tools.langdetect.LanguageDetectorConfig
LanguageDetectorContextGenerator - Interface in opennlp.tools.langdetect
  A context generator interface for language detector.
LanguageDetectorConverterTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorConverterTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorConverterTool
LanguageDetectorCrossValidator - Class in opennlp.tools.langdetect
  Cross validator for language detector
LanguageDetectorCrossValidator(TrainingParameters, LanguageDetectorFactory, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorCrossValidator
  Creates a `LanguageDetectorCrossValidator` with the given `FeatureGenerator`s.
LanguageDetectorCrossValidatorTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
LanguageDetectorEvaluationErrorListener - Class in opennlp.tools.cmdline.langdetect
  A default implementation of `EvaluationMonitor` that prints to an output stream.
LanguageDetectorEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener
  Creates a listener that will print to System.err
LanguageDetectorEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
LanguageDetectorEvaluationMonitor - Interface in opennlp.tools.langdetect
  `EvaluationMonitor` for Language Detector.
LanguageDetectorEvaluator - Class in opennlp.tools.langdetect
  The `LanguageDetectorEvaluator` measures the performance of the given `LanguageDetector` with the provided reference `LanguageSample`s.
LanguageDetectorEvaluator(LanguageDetector, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEvaluator
  Initializes the current instance.
LanguageDetectorEvaluatorTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorEvaluatorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
LanguageDetectorEventStream - Class in opennlp.tools.langdetect
  Iterator-like class for modeling language detector events.
LanguageDetectorEventStream(ObjectStream<LanguageSample>, LanguageDetectorContextGenerator) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEventStream
  Initializes the current instance via samples and feature generators.
LanguageDetectorFactory - Class in opennlp.tools.langdetect
  Default factory used by Language Detector.
LanguageDetectorFactory() - Constructor for class opennlp.tools.langdetect.LanguageDetectorFactory
LanguageDetectorFineGrainedReportListener - Class in opennlp.tools.cmdline.langdetect
  Generates a detailed report for the POS Tagger.
LanguageDetectorFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
  Creates a listener that will print to `System.err`
LanguageDetectorFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`
LanguageDetectorME - Class in opennlp.tools.langdetect
  Implements learnable Language Detector
LanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.LanguageDetectorME
  Initializes the current instance with a language detector model.
LanguageDetectorModel - Class in opennlp.tools.langdetect
  A model for language detection
LanguageDetectorModel(MaxentModel, Map<String, String>, LanguageDetectorFactory) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel
LanguageDetectorModel(InputStream) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel
LanguageDetectorModel(File) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel
LanguageDetectorModel(URL) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel
LanguageDetectorModelLoader - Class in opennlp.tools.cmdline.langdetect
  Loads a Language Detector Model for the command line tools.
LanguageDetectorModelLoader() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorModelLoader
LanguageDetectorSampleStream - Class in opennlp.tools.langdetect
  This class reads in string encoded training samples, parses them and outputs `LanguageSample` objects.
LanguageDetectorSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.langdetect.LanguageDetectorSampleStream
LanguageDetectorSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `DocumentSampleStream`s.
LanguageDetectorTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
LanguageDetectorTrainerTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorTrainerTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
LanguageModel - Interface in opennlp.tools.languagemodel
  A language model can calculate the probability p (between 0 and 1) of a certain `sequence of tokens`, given its underlying vocabulary.
LanguageParams - Interface in opennlp.tools.cmdline.params
LanguageSample - Class in opennlp.tools.langdetect
  Class which holds a classified document and its @`Language`.
LanguageSample(Language, CharSequence) - Constructor for class opennlp.tools.langdetect.LanguageSample
LanguageSampleStreamFactory<T> - Class in opennlp.tools.formats
  Stream factory for those streams which carry language.
LAST - Static variable in class opennlp.tools.namefind.BilouCodec
Leaf() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
LeipzigLanguageSampleStream - Class in opennlp.tools.formats.leipzig
LeipzigLanguageSampleStream(File, int, int) - Constructor for class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream
LeipzigLanguageSampleStreamFactory - Class in opennlp.tools.formats.leipzig
  Note: Do not use this class, internal use only!
LEMMA_NUMBER - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
LemmaEvaluationErrorListener - Class in opennlp.tools.cmdline.lemmatizer
  A default implementation of `EvaluationMonitor` that prints to an output stream.
LemmaEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener
  Creates a listener that will print to System.err
LemmaEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
LemmaSample - Class in opennlp.tools.lemmatizer
  Represents an lemmatized sentence.
LemmaSample(String[], String[], String[]) - Constructor for class opennlp.tools.lemmatizer.LemmaSample
  Represents one lemma sample.
LemmaSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSample
  Lemma Sample constructor.
LemmaSampleEventStream - Class in opennlp.tools.lemmatizer
  Class for creating an event stream out of data files for training a probabilistic lemmatizer.
LemmaSampleEventStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleEventStream
  Creates a new event stream based on the specified data stream using the specified context generator.
LemmaSampleSequenceStream - Class in opennlp.tools.lemmatizer
LemmaSampleSequenceStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
LemmaSampleStream - Class in opennlp.tools.lemmatizer
  Reads data for training and testing the lemmatizer.
LemmaSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleStream
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(String[], String[]) - Method in interface opennlp.tools.lemmatizer.Lemmatizer
  Generates lemmas for the word and postag returning the result in an array.
lemmatize(List<String>, List<String>) - Method in interface opennlp.tools.lemmatizer.Lemmatizer
  Generates a lemma tags for the word and postag returning the result in a list of every possible lemma for each token and postag.
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.LemmatizerME
Lemmatizer - Interface in opennlp.tools.lemmatizer
  The interface for lemmatizers.
LemmatizerContextGenerator - Interface in opennlp.tools.lemmatizer
  Interface for the context generator used for probabilistic lemmatizer.
LemmatizerEvaluationMonitor - Interface in opennlp.tools.lemmatizer
  Interface for the lemmatizer evaluator.
LemmatizerEvaluator - Class in opennlp.tools.lemmatizer
  The `LemmatizerEvaluator` measures the performance of the given `Lemmatizer` with the provided reference `LemmaSample`s.
LemmatizerEvaluator(Lemmatizer, LemmatizerEvaluationMonitor...) - Constructor for class opennlp.tools.lemmatizer.LemmatizerEvaluator
  Initializes the current instance.
LemmatizerEvaluatorTool - Class in opennlp.tools.cmdline.lemmatizer
LemmatizerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
LemmatizerFactory - Class in opennlp.tools.lemmatizer
LemmatizerFactory() - Constructor for class opennlp.tools.lemmatizer.LemmatizerFactory
  Creates a `LemmatizerFactory` that provides the default implementation of the resources.
LemmatizerFineGrainedReportListener - Class in opennlp.tools.cmdline.lemmatizer
  Generates a detailed report for the Lemmatizer.
LemmatizerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
  Creates a listener that will print to `System.err`
LemmatizerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`
LemmatizerME - Class in opennlp.tools.lemmatizer
  A probabilistic lemmatizer.
LemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.LemmatizerME
  Initializes the current instance with the provided model and the default beam size of 3.
LemmatizerMETool - Class in opennlp.tools.cmdline.lemmatizer
LemmatizerMETool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
LemmatizerModel - Class in opennlp.tools.lemmatizer
  The `LemmatizerModel` is the model used by a learnable `Lemmatizer`.
LemmatizerModel(String, SequenceClassificationModel<String>, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(String, MaxentModel, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(String, MaxentModel, int, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(InputStream) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(File) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(Path) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModel(URL) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
LemmatizerModelLoader - Class in opennlp.tools.cmdline.lemmatizer
  Loads a Lemmatizer Model for the command line tools.
LemmatizerModelLoader() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerModelLoader
LemmatizerSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `LemmaSampleStream`s.
LemmatizerTrainerTool - Class in opennlp.tools.cmdline.lemmatizer
LemmatizerTrainerTool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
length() - Method in class opennlp.tools.util.Span
  Returns the length of this span.
LetsmtDocument - Class in opennlp.tools.formats.letsmt
  A structure to hold the letsmt document.
LetsmtDocument.LetsmtDocumentHandler - Class in opennlp.tools.formats.letsmt
LetsmtDocument.LetsmtSentence - Class in opennlp.tools.formats.letsmt
LetsmtDocumentHandler() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
LetsmtSentence() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
LetsmtSentenceStreamFactory - Class in opennlp.tools.formats.letsmt
levenshteinDistance(String, String) - Static method in class opennlp.tools.util.StringUtil
  Computes the Levenshtein distance of two strings in a matrix.
LineSearch - Class in opennlp.tools.ml.maxent.quasinewton
  Class that performs line search to find minimum
LineSearch() - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch
LineSearch.LineSearchResult - Class in opennlp.tools.ml.maxent.quasinewton
  Class to store lineSearch result
LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Constructor
LineSearchResult(double, double, double, double[], double[], double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Constructor with sign vector
LinkedSpan<T extends BaseLink> - Class in opennlp.tools.entitylinker
  An "default" extended span that holds additional information about the Span
LinkedSpan(ArrayList<T>, int, int, String) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
LinkedSpan(ArrayList<T>, int, int, String, double) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
LinkedSpan(ArrayList<T>, int, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
LinkedSpan(ArrayList<T>, Span, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
loadResources(File, File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
  Load the resources, such as dictionaries, by reading the feature xml descriptor and looking into the directory passed as argument.
LOG_LIKELIHOOD_THRESHOLD_DEFAULT - Static variable in class opennlp.tools.ml.maxent.GISTrainer
LOG_LIKELIHOOD_THRESHOLD_PARAM - Static variable in class opennlp.tools.ml.maxent.GISTrainer
logPrior(double[], int[]) - Method in interface opennlp.tools.ml.model.Prior
  Populates the specified array with the the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in interface opennlp.tools.ml.model.Prior
  Populates the specified array with the the log of the distribution for the specified context.
logPrior(double[], Context[], float[]) - Method in interface opennlp.tools.ml.model.Prior
  Populates the specified array with the the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior
logPrior(double[], Context[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior
logPrior(double[], int[]) - Method in class opennlp.tools.ml.model.UniformPrior
LogProbabilities<T> - Class in opennlp.tools.ml.naivebayes
  Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
LogProbabilities() - Constructor for class opennlp.tools.ml.naivebayes.LogProbabilities
LogProbability<T> - Class in opennlp.tools.ml.naivebayes
  Class implementing the probability for a label.
LogProbability(T) - Constructor for class opennlp.tools.ml.naivebayes.LogProbability
logSumOfExps(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Computes \log(\sum_{i=1}^n e^{x_i}) using a maximum-element trick to avoid arithmetic overflow.
lookupToken(String) - Method in class opennlp.tools.util.featuregen.BrownCluster
  Check if a token is in the Brown:paths, token map.
lookupToken(String) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

## M

M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
M_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MarkableFileInputStreamFactory - Class in opennlp.tools.util
  A factory that creates `MarkableFileInputStream` from a `File`
MarkableFileInputStreamFactory(File) - Constructor for class opennlp.tools.util.MarkableFileInputStreamFactory
max(double[]) - Static method in class opennlp.tools.ml.ArrayMath
MAX_ENTRIES_PROPERTY - Static variable in class opennlp.tools.ml.model.AbstractModelReader
  System property for overriding the maximum number of entries (outcomes, predicates, outcome patterns, chunk counts) that may be read from a model file or training data.
MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAX_FCT_EVAL_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAXENT_QN_VALUE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAXENT_VALUE - Static variable in class opennlp.tools.ml.maxent.GISTrainer
MaxentModel - Interface in opennlp.tools.ml.model
  Interface for maximum entropy models.
maxIdx(double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.ArrayMath
  Deprecated.
  Find index of maximum element in the vector x
Mean - Class in opennlp.tools.util.eval
  Calculates the arithmetic mean of values added with the `Mean.add(double)` method.
Mean() - Constructor for class opennlp.tools.util.eval.Mean
mean() - Method in class opennlp.tools.util.eval.Mean
  Retrieves the mean of all values added with `Mean.add(double)` or 0 if there are zero added values.
mergeInto(FMeasure) - Method in class opennlp.tools.util.eval.FMeasure
  Merge results into fmeasure metric.
mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class opennlp.tools.parser.chunking.Parser
META_LABEL_FINAL - Static variable in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
methodObject - Static variable in class opennlp.tools.stemmer.snowball.indonesianStemmer
MIN_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
minimize(Function) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  Find the parameters that minimize the objective function
missclassified(ChunkSample, ChunkSample) - Method in class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
missclassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener
missclassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
missclassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener
missclassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
missclassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener
missclassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
missclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
missclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
missclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
missclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
missclassified(SentenceSample, SentenceSample) - Method in class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
missclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener
missclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
missclassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
ModelType - Enum in opennlp.tools.util.model
ModelUtil - Class in opennlp.tools.util.model
  Utility class for handling of `MaxentModel`s.
MosesSentenceSampleStream - Class in opennlp.tools.formats.moses
MosesSentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.moses.MosesSentenceSampleStream
MosesSentenceSampleStreamFactory - Class in opennlp.tools.formats.moses
  Factory producing OpenNLP `MosesSentenceSampleStream`s.
Muc6NameSampleStreamFactory - Class in opennlp.tools.formats.muc
MucNameContentHandler - Class in opennlp.tools.formats.muc
MucNameContentHandler(Tokenizer, List<NameSample>) - Constructor for class opennlp.tools.formats.muc.MucNameContentHandler
MucNameSampleStream - Class in opennlp.tools.formats.muc
MutableContext - Class in opennlp.tools.ml.model
  Class used to store parameters or expected values associated with this context which can be updated or assigned.
MutableContext(int[], double[]) - Constructor for class opennlp.tools.ml.model.MutableContext
  Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
MutableInt - Class in opennlp.tools.util
  This is a non-thread safe mutable int.
MutableInt(int) - Constructor for class opennlp.tools.util.MutableInt
MutableTagDictionary - Interface in opennlp.tools.postag
  Interface that allows `TagDictionary` entries to be added and removed.

## N

NAIVE_BAYES_VALUE - Static variable in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
NaiveBayesEvalParameters - Class in opennlp.tools.ml.naivebayes
  Parameters for the evalution of a naive bayes classifier
NaiveBayesEvalParameters(Context[], int, double[], long) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
NaiveBayesModel - Class in opennlp.tools.ml.naivebayes
  Class implementing the multinomial Naive Bayes classifier model.
NaiveBayesModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModel
NaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes
  Abstract parent class for readers of NaiveBayes.
NaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
NaiveBayesModelReader(DataReader) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
NaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes
  Abstract parent class for NaiveBayes writers.
NaiveBayesModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter
NaiveBayesTrainer - Class in opennlp.tools.ml.naivebayes
  Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in: Text Classification from Labeled and Unlabeled Documents using EM Nigam, McCallum, et al paper of 2000
NaiveBayesTrainer() - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
NaiveBayesTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
name - Variable in class opennlp.tools.ml.model.ComparablePredicate
NameContextGenerator - Interface in opennlp.tools.namefind
  Interface for generating the context for an name finder by specifying a set of geature generators.
NameEvaluationErrorListener - Class in opennlp.tools.cmdline.namefind
  A default implementation of `EvaluationMonitor` that prints to an output stream.
NameEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
  Creates a listener that will print to System.err
NameEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
NameFinderCensus90NameStream - Class in opennlp.tools.formats
  This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.
NameFinderCensus90NameStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream
  This constructor takes an ObjectStream and initializes the class to handle the stream.
NameFinderCensus90NameStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream
  This constructor takes an `InputStream` and a `Charset` and opens an associated stream object with the specified encoding specified.
NameFinderEventStream - Class in opennlp.tools.namefind
  Class for creating an event stream out of data files for training an name finder.
NameFinderEventStream(ObjectStream<NameSample>, String, NameContextGenerator, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream
  Creates a new name finder event stream using the specified data stream and context generator.
NameFinderEventStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream
NameFinderME - Class in opennlp.tools.namefind
  Class for creating a maximum-entropy-based name finder.
NameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.NameFinderME
NameFinderSequenceValidator - Class in opennlp.tools.namefind
  This class is created by the `BioCodec`.
NameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.NameFinderSequenceValidator
NameSample - Class in opennlp.tools.namefind
  Class for holding names for a single unit of text.
NameSample(String, String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample
NameSample(String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample
  Initializes the current instance.
NameSample(String[], Span[], boolean) - Constructor for class opennlp.tools.namefind.NameSample
NameSampleCountersStream - Class in opennlp.tools.cmdline.namefind
  Counts tokens, sentences and names by type
NameSampleDataStream - Class in opennlp.tools.namefind
  The `NameSampleDataStream` class converts tagged `String`s provided by a `DataStream` to `NameSample` objects.
NameSampleDataStream(ObjectStream<String>) - Constructor for class opennlp.tools.namefind.NameSampleDataStream
NameSampleDataStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `NameSampleDataStream`s.
NameSampleDataStreamFactory.Parameters - Interface in opennlp.tools.formats
NameSampleSequenceStream - Class in opennlp.tools.namefind
NameSampleSequenceStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
NameSampleTypeFilter - Class in opennlp.tools.namefind
  A stream which removes Name Samples which do not have a certain type.
NameSampleTypeFilter(String[], ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter
NameSampleTypeFilter(Set<String>, ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter
NameToSentenceSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
NameToSentenceSampleStream(Detokenizer, ObjectStream<NameSample>, int) - Constructor for class opennlp.tools.formats.convert.NameToSentenceSampleStream
NameToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
NameToTokenSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
NameToTokenSampleStream(Detokenizer, ObjectStream<NameSample>) - Constructor for class opennlp.tools.formats.convert.NameToTokenSampleStream
NameToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
NegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton
  Evaluate negative log-likelihood and its gradient from DataIndexer.
NegLogLikelihood(DataIndexer) - Constructor for class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
NewlineSentenceDetector - Class in opennlp.tools.sentdetect
  The Newline Sentence Detector assumes that sentences are line delimited and recognizes one sentence per non-empty line.
NewlineSentenceDetector() - Constructor for class opennlp.tools.sentdetect.NewlineSentenceDetector
next() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
next() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
  Retrieves the next training and test partitions.
next() - Method in class opennlp.tools.util.ReverseListIterator
NEXT_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
nextIteration(int) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
nextToken() - Method in interface opennlp.tools.ml.maxent.DataStream
  Returns the next slice of data held in this DataStream.
NGramCharModel - Class in opennlp.tools.ngram
  The `NGramCharModel` can be used to create character ngrams.
NGramCharModel() - Constructor for class opennlp.tools.ngram.NGramCharModel
  Initializes an empty instance.
NGramFeatureGenerator - Class in opennlp.tools.doccat
  Generates ngram features for a document.
NGramFeatureGenerator(int, int) - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator
  Constructor for ngrams.
NGramFeatureGenerator() - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator
  Default constructor for Bi grams
NGramGenerator - Class in opennlp.tools.ngram
  Generates an nGram, with optional separator, and returns the grams as a list of strings
NGramGenerator() - Constructor for class opennlp.tools.ngram.NGramGenerator
NGramLanguageModel - Class in opennlp.tools.languagemodel
  A `LanguageModel` based on a `NGramModel` using Stupid Backoff to get the probabilities of the ngrams.
NGramLanguageModel() - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
NGramLanguageModel(int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
NGramLanguageModel(InputStream) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
NGramLanguageModel(InputStream, int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
NGramLanguageModelTool - Class in opennlp.tools.cmdline.languagemodel
  Command line tool for `NGramLanguageModel`.
NGramLanguageModelTool() - Constructor for class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
NGramModel - Class in opennlp.tools.ngram
  The `NGramModel` can be used to crate ngrams and character ngrams.
NGramModel() - Constructor for class opennlp.tools.ngram.NGramModel
  Initializes an empty instance.
NGramModel(InputStream) - Constructor for class opennlp.tools.ngram.NGramModel
  Initializes the current instance.
NGramUtils - Class in opennlp.tools.ngram
  Utility class for ngrams.
NGramUtils() - Constructor for class opennlp.tools.ngram.NGramUtils
nicePrint() - Method in class opennlp.tools.chunker.ChunkSample
  Creates a nice to read string for the phrases formatted as following:
  `[NP Rockwell_NNP ] [VP said_VBD ] [NP the_DT agreement_NN ] [VP calls_VBZ ] [SBAR for_IN ] [NP it_PRP ] [VP to_TO supply_VB ] [NP 200_CD additional_JJ so-called_JJ shipsets_NNS ] [PP for_IN ] [NP the_DT planes_NNS ] ._.`
NKJPSegmentationDocument - Class in opennlp.tools.formats.nkjp
NKJPSegmentationDocument.Pointer - Class in opennlp.tools.formats.nkjp
NKJPSentenceSampleStream - Class in opennlp.tools.formats.nkjp
NKJPSentenceSampleStreamFactory - Class in opennlp.tools.formats.nkjp
NKJPTextDocument - Class in opennlp.tools.formats.nkjp
NO_SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME
  Constant indicates no sentence split.
NO_SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME
  Constant indicates no token split.
Node() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
NON_ATTACH - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a node should not be attached to another node.
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
normalize(CharSequence) - Method in interface opennlp.tools.util.normalizer.CharSequenceNormalizer
  normalize a sequence of characters
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
NUM_ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
NumberCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  Normalizer for numbers
NumberCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
numberOfGrams() - Method in class opennlp.tools.ngram.NGramCharModel
  Retrieves the total count of all Ngrams.
numberOfGrams() - Method in class opennlp.tools.ngram.NGramModel
  Retrieves the total count of all Ngrams.

## O

ObjectDataReader - Class in opennlp.tools.ml.model
ObjectDataReader(ObjectInputStream) - Constructor for class opennlp.tools.ml.model.ObjectDataReader
ObjectStream<T> - Interface in opennlp.tools.util
  Reads `Object`s from a stream.
ObjectStreamUtils - Class in opennlp.tools.util
ObjectStreamUtils() - Constructor for class opennlp.tools.util.ObjectStreamUtils
OLD_LL_THRESHOLD_PARAM - Static variable in class opennlp.tools.ml.maxent.GISTrainer
  Deprecated.
OnePassDataIndexer - Class in opennlp.tools.ml.model
  An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
OnePassDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassDataIndexer
OnePassRealValueDataIndexer - Class in opennlp.tools.ml.model
  An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.
OnePassRealValueDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassRealValueDataIndexer
OntoNotesFormatParameters - Interface in opennlp.tools.formats.ontonotes
OntoNotesNameSampleStream - Class in opennlp.tools.formats.ontonotes
  Name Sample Stream parser for the OntoNotes 4.0 corpus.
OntoNotesNameSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream
OntoNotesNameSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
OntoNotesNameSampleStreamFactory() - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
OntoNotesParseSampleStream - Class in opennlp.tools.formats.ontonotes
OntoNotesParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream
OntoNotesParseSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
OntoNotesPOSSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
openFeatureGeneratorBytes(File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
opennlp.tools - package opennlp.tools
  Contains packages which solve common NLP tasks.
opennlp.tools.chunker - package opennlp.tools.chunker
  Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
opennlp.tools.cmdline.chunker - package opennlp.tools.cmdline.chunker
opennlp.tools.cmdline.dictionary - package opennlp.tools.cmdline.dictionary
opennlp.tools.cmdline.doccat - package opennlp.tools.cmdline.doccat
opennlp.tools.cmdline.entitylinker - package opennlp.tools.cmdline.entitylinker
opennlp.tools.cmdline.langdetect - package opennlp.tools.cmdline.langdetect
opennlp.tools.cmdline.languagemodel - package opennlp.tools.cmdline.languagemodel
opennlp.tools.cmdline.lemmatizer - package opennlp.tools.cmdline.lemmatizer
  Classes giving access to the opennlp.tools.lemmatizer functionalities.
opennlp.tools.cmdline.namefind - package opennlp.tools.cmdline.namefind
opennlp.tools.cmdline.params - package opennlp.tools.cmdline.params
opennlp.tools.cmdline.parser - package opennlp.tools.cmdline.parser
opennlp.tools.cmdline.postag - package opennlp.tools.cmdline.postag
opennlp.tools.cmdline.sentdetect - package opennlp.tools.cmdline.sentdetect
opennlp.tools.cmdline.tokenizer - package opennlp.tools.cmdline.tokenizer
opennlp.tools.dictionary - package opennlp.tools.dictionary
  Package related to parsing and storing dictionaries.
opennlp.tools.dictionary.serializer - package opennlp.tools.dictionary.serializer
opennlp.tools.doccat - package opennlp.tools.doccat
  Package for classifying a document into a category.
opennlp.tools.entitylinker - package opennlp.tools.entitylinker
opennlp.tools.formats - package opennlp.tools.formats
  Experimental package related to converting various corpora to OpenNLP Format.
opennlp.tools.formats.ad - package opennlp.tools.formats.ad
opennlp.tools.formats.brat - package opennlp.tools.formats.brat
opennlp.tools.formats.conllu - package opennlp.tools.formats.conllu
opennlp.tools.formats.convert - package opennlp.tools.formats.convert
opennlp.tools.formats.frenchtreebank - package opennlp.tools.formats.frenchtreebank
opennlp.tools.formats.irishsentencebank - package opennlp.tools.formats.irishsentencebank
opennlp.tools.formats.leipzig - package opennlp.tools.formats.leipzig
opennlp.tools.formats.letsmt - package opennlp.tools.formats.letsmt
opennlp.tools.formats.moses - package opennlp.tools.formats.moses
opennlp.tools.formats.muc - package opennlp.tools.formats.muc
opennlp.tools.formats.nkjp - package opennlp.tools.formats.nkjp
opennlp.tools.formats.ontonotes - package opennlp.tools.formats.ontonotes
opennlp.tools.langdetect - package opennlp.tools.langdetect
opennlp.tools.languagemodel - package opennlp.tools.languagemodel
  Package related to language models
opennlp.tools.lemmatizer - package opennlp.tools.lemmatizer
  Package related with the lemmatizer tool
opennlp.tools.ml - package opennlp.tools.ml
opennlp.tools.ml.maxent - package opennlp.tools.ml.maxent
  Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.
opennlp.tools.ml.maxent.io - package opennlp.tools.ml.maxent.io
  Provides the I/O functionality of the maxent package including reading and writing models in several formats.
opennlp.tools.ml.maxent.quasinewton - package opennlp.tools.ml.maxent.quasinewton
opennlp.tools.ml.model - package opennlp.tools.ml.model
opennlp.tools.ml.naivebayes - package opennlp.tools.ml.naivebayes
opennlp.tools.ml.perceptron - package opennlp.tools.ml.perceptron
opennlp.tools.namefind - package opennlp.tools.namefind
  Package related to finding proper names and numeric amounts.
opennlp.tools.ngram - package opennlp.tools.ngram
  Package related to computing and storing n-gram frequencies.
opennlp.tools.parser - package opennlp.tools.parser
  Package containing common code for performing full syntactic parsing.
opennlp.tools.parser.chunking - package opennlp.tools.parser.chunking
  Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
opennlp.tools.parser.lang.en - package opennlp.tools.parser.lang.en
opennlp.tools.parser.lang.es - package opennlp.tools.parser.lang.es
opennlp.tools.parser.treeinsert - package opennlp.tools.parser.treeinsert
  Package containing experimental code for performing full syntactic parsing using attachment decisions.
opennlp.tools.postag - package opennlp.tools.postag
  Package related to part-of-speech tagging.
opennlp.tools.sentdetect - package opennlp.tools.sentdetect
  Package related to identifying sentece boundries.
opennlp.tools.sentdetect.lang - package opennlp.tools.sentdetect.lang
opennlp.tools.sentdetect.lang.th - package opennlp.tools.sentdetect.lang.th
  Package related to the processing of Thai data.
opennlp.tools.stemmer - package opennlp.tools.stemmer
opennlp.tools.stemmer.snowball - package opennlp.tools.stemmer.snowball
opennlp.tools.tokenize - package opennlp.tools.tokenize
  Contains classes related to finding token or words in a string.
opennlp.tools.tokenize.lang - package opennlp.tools.tokenize.lang
opennlp.tools.tokenize.lang.en - package opennlp.tools.tokenize.lang.en
opennlp.tools.util - package opennlp.tools.util
  Package containing utility data structures and algorithms used by multiple other packages.
opennlp.tools.util.eval - package opennlp.tools.util.eval
opennlp.tools.util.ext - package opennlp.tools.util.ext
  Package containing extension loading code.
opennlp.tools.util.featuregen - package opennlp.tools.util.featuregen
  This package contains classes for generating sequence features.
opennlp.tools.util.java - package opennlp.tools.util.java
opennlp.tools.util.model - package opennlp.tools.util.model
opennlp.tools.util.normalizer - package opennlp.tools.util.normalizer
opennlp.tools.util.wordvector - package opennlp.tools.util.wordvector
OSGiExtensionLoader - Class in opennlp.tools.util.ext
  OSGi bundle activator which can use an OSGi service as an OpenNLP extension.
OSGiExtensionLoader() - Constructor for class opennlp.tools.util.ext.OSGiExtensionLoader
OTHER - Static variable in class opennlp.tools.formats.ad.ADChunkSampleStream
OTHER - Static variable in class opennlp.tools.namefind.BilouCodec
OTHER - Static variable in class opennlp.tools.namefind.BioCodec
OTHER - Static variable in class opennlp.tools.namefind.NameFinderME
OTHER - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Outcome for token which is not contained in a basal constituent.
outcome - Variable in class opennlp.tools.ml.model.ComparableEvent
OutcomePriorFeatureGenerator - Class in opennlp.tools.util.featuregen
  The definition feature maps the underlying distribution of outcomes.
OutcomePriorFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
outcomes - Variable in class opennlp.tools.ml.model.ComparablePredicate

## P

ParagraphStream - Class in opennlp.tools.util
  Stream filter which merges text lines into paragraphs.
ParagraphStream(ObjectStream<String>) - Constructor for class opennlp.tools.util.ParagraphStream
ParallelNegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton
  Evaluate negative log-likelihood and its gradient in parallel
ParallelNegLogLikelihood(DataIndexer, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood
params - Variable in class opennlp.tools.ml.model.ComparablePredicate
parse(String, int, boolean, boolean) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
  Parse the sentence
parse(InputStream) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration
parse(File) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration
parse(BratDocument) - Method in class opennlp.tools.formats.brat.BratDocumentParser
parse(InputStream) - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
parse(Reader, SgmlParser.ContentHandler) - Method in class opennlp.tools.formats.muc.SgmlParser
parse(InputStream) - Static method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument
parse(InputStream) - Static method in class opennlp.tools.formats.nkjp.NKJPTextDocument
parse(String, boolean) - Static method in class opennlp.tools.namefind.NameSample
parse(String, String, boolean) - Static method in class opennlp.tools.namefind.NameSample
parse(Parse, int) - Method in class opennlp.tools.parser.AbstractBottomUpParser
parse(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser
Parse - Class in opennlp.tools.parser
  Data structure for holding parse constituents.
Parse(String, Span, String, double, int) - Constructor for class opennlp.tools.parser.Parse
  Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head index.
Parse(String, Span, String, double, Parse) - Constructor for class opennlp.tools.parser.Parse
  Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head and head index.
parse(Parse, int) - Method in interface opennlp.tools.parser.Parser
  Returns the specified number of parses or fewer for the specified tokens.
parse(Parse) - Method in interface opennlp.tools.parser.Parser
  Returns a parse for the specified parse of tokens.
parse(String) - Static method in enum opennlp.tools.parser.ParserType
parse(String) - Static method in class opennlp.tools.postag.POSSample
parse(String) - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation
parse(String, String) - Static method in class opennlp.tools.tokenize.TokenSample
parse(String) - Static method in class opennlp.tools.util.Version
  Return a new `Version` initialized to the value represented by the specified `String`
parse(InputStream) - Static method in class opennlp.tools.util.wordvector.Glove
  Parses a glove vector plain text file.
parseContexts(String[]) - Static method in class opennlp.tools.ml.model.RealValueFileEventStream
  Parses the specified contexts and re-populates context array with features and returns the values for these features.
parseDocument(AnnotationConfiguration, String, InputStream, InputStream) - Static method in class opennlp.tools.formats.brat.BratDocument
parseLine(String, Parser, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool
parseLine(String, Parser, Tokenizer, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool
parseOneEntryPerLine(Reader) - Static method in class opennlp.tools.dictionary.Dictionary
  Reads a dictionary which has one entry per line.
parseParse(String) - Static method in class opennlp.tools.parser.Parse
  Parses the specified tree-bank style parse string and return a Parse structure for that string.
parseParse(String, GapLabeler) - Static method in class opennlp.tools.parser.Parse
  Parses the specified tree-bank style parse string and return a Parse structure for that string.
Parser - Class in opennlp.tools.parser.chunking
  Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.
Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.chunking.Parser
Parser(ParserModel) - Constructor for class opennlp.tools.parser.chunking.Parser
Parser - Interface in opennlp.tools.parser
  Interface for full-syntactic parsers.
Parser - Class in opennlp.tools.parser.treeinsert
  Built/attach parser.
Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.treeinsert.Parser
Parser(ParserModel) - Constructor for class opennlp.tools.parser.treeinsert.Parser
ParserChunkerFactory - Class in opennlp.tools.parser
ParserChunkerFactory() - Constructor for class opennlp.tools.parser.ParserChunkerFactory
ParserChunkerSequenceValidator - Class in opennlp.tools.parser
ParserChunkerSequenceValidator(String[]) - Constructor for class opennlp.tools.parser.ParserChunkerSequenceValidator
ParserConverterTool - Class in opennlp.tools.cmdline.parser
ParserConverterTool() - Constructor for class opennlp.tools.cmdline.parser.ParserConverterTool
ParserCrossValidator - Class in opennlp.tools.parser
ParserCrossValidator(String, TrainingParameters, HeadRules, ParserType, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserCrossValidator
ParserEvaluationMonitor - Interface in opennlp.tools.parser
ParserEvaluator - Class in opennlp.tools.parser
  Class for ParserEvaluator.
ParserEvaluator(Parser, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserEvaluator
  Construct a parser with some evaluation monitors.
ParserEvaluatorTool - Class in opennlp.tools.cmdline.parser
ParserEvaluatorTool() - Constructor for class opennlp.tools.cmdline.parser.ParserEvaluatorTool
ParserEventStream - Class in opennlp.tools.parser.chunking
  Wrapper class for one of four parser event streams.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.chunking.ParserEventStream
  Create an event stream based on the specified data stream of the specified type using the specified head rules.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.chunking.ParserEventStream
ParserEventStream - Class in opennlp.tools.parser.treeinsert
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.treeinsert.ParserEventStream
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.treeinsert.ParserEventStream
ParserEventTypeEnum - Enum in opennlp.tools.parser
  Enumerated type of event types for the parser.
ParserFactory - Class in opennlp.tools.parser
ParserModel - Class in opennlp.tools.parser
  This is an abstract base class for `ParserModel` implementations.
ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel
ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType) - Constructor for class opennlp.tools.parser.ParserModel
ParserModel(String, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel
ParserModel(InputStream) - Constructor for class opennlp.tools.parser.ParserModel
ParserModel(File) - Constructor for class opennlp.tools.parser.ParserModel
ParserModel(Path) - Constructor for class opennlp.tools.parser.ParserModel
ParserModel(URL) - Constructor for class opennlp.tools.parser.ParserModel
ParserModelLoader - Class in opennlp.tools.cmdline.parser
  Loads a Parser Model for the command line tools.
ParserModelLoader() - Constructor for class opennlp.tools.cmdline.parser.ParserModelLoader
ParserTool - Class in opennlp.tools.cmdline.parser
ParserTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTool
ParserTrainerTool - Class in opennlp.tools.cmdline.parser
ParserTrainerTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTrainerTool
ParserType - Enum in opennlp.tools.parser
ParseSampleStream - Class in opennlp.tools.parser
ParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.parser.ParseSampleStream
ParseSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `ParseSampleStream`s.
ParseSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
ParseToPOSSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
ParseToPOSSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.formats.convert.ParseToPOSSampleStream
ParseToPOSSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
ParseToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
ParseToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
pathLengths - Static variable in class opennlp.tools.util.featuregen.BrownTokenClasses
PERCEPTRON_SEQUENCE_VALUE - Static variable in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
PERCEPTRON_VALUE - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer
PerceptronModel - Class in opennlp.tools.ml.perceptron
PerceptronModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModel
PerceptronModelReader - Class in opennlp.tools.ml.perceptron
  Abstract parent class for readers of Perceptron.
PerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader
PerceptronModelReader(DataReader) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader
PerceptronModelWriter - Class in opennlp.tools.ml.perceptron
  Abstract parent class for Perceptron writers.
PerceptronModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelWriter
PerceptronTrainer - Class in opennlp.tools.ml.perceptron
  Trains models using the perceptron algorithm.
PerceptronTrainer() - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer
PerceptronTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer
persist() - Method in class opennlp.tools.ml.maxent.io.GISModelWriter
  Writes the model to disk, using the `writeX()` methods provided by extending classes.
persist() - Method in class opennlp.tools.ml.maxent.io.QNModelWriter
persist() - Method in class opennlp.tools.ml.model.AbstractModelWriter
persist() - Method in class opennlp.tools.ml.model.GenericModelWriter
persist() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter
  Writes the model to disk, using the `writeX()` methods provided by extending classes.
persist() - Method in class opennlp.tools.ml.perceptron.PerceptronModelWriter
  Writes the model to disk, using the `writeX()` methods provided by extending classes.
phrasesAsSpanList(String[], String[], String[]) - Static method in class opennlp.tools.chunker.ChunkSample
  Static method to create arrays of spans of phrases
PlainTextByLineStream - Class in opennlp.tools.util
  Reads a plain text file and return each line as a `String` object.
PlainTextByLineStream(InputStreamFactory, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream
PlainTextByLineStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream
PlainTextFileDataReader - Class in opennlp.tools.ml.model
PlainTextFileDataReader(File) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
PlainTextFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
PlainTextFileDataReader(BufferedReader) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
PlainTextNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes
PlainTextNaiveBayesModelReader(BufferedReader) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader
  Constructor which directly instantiates the BufferedReader containing the model contents.
PlainTextNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader
  Constructor which takes a File and creates a reader for it.
PlainTextNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes
  Model writer that saves models in plain text format.
PlainTextNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
  Constructor which takes a NaiveBayesModel and a File and prepares itself to write the model to that file.
PlainTextNaiveBayesModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
  Constructor which takes a NaiveBayesModel and a BufferedWriter and prepares itself to write the model to that writer.
Pointer(String, String, int, int, boolean) - Constructor for class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
populatePOSDictionary(ObjectStream<POSSample>, MutableTagDictionary, int) - Static method in class opennlp.tools.postag.POSTaggerME
PorterStemmer - Class in opennlp.tools.stemmer
  Stemmer, implementing the Porter Stemming Algorithm The Stemmer class transforms a word into its root form.
PorterStemmer() - Constructor for class opennlp.tools.stemmer.PorterStemmer
PortugueseContractionUtility - Class in opennlp.tools.formats.ad
  Utility class to handle Portuguese contractions.
PortugueseContractionUtility() - Constructor for class opennlp.tools.formats.ad.PortugueseContractionUtility
POSContextGenerator - Interface in opennlp.tools.postag
  The interface for a context generator for the POS Tagger.
POSDictionary - Class in opennlp.tools.postag
  Provides a means of determining which tags are valid for a particular word based on a tag dictionary read from a file.
POSDictionary() - Constructor for class opennlp.tools.postag.POSDictionary
  Initializes an empty case sensitive `POSDictionary`.
POSDictionary(boolean) - Constructor for class opennlp.tools.postag.POSDictionary
  Initializes an empty `POSDictionary`.
POSDictionarySerializer() - Constructor for class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
POSEvaluationErrorListener - Class in opennlp.tools.cmdline.postag
  A default implementation of `EvaluationMonitor` that prints to an output stream.
POSEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
  Creates a listener that will print to System.err
POSEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
POSEvaluator - Class in opennlp.tools.postag
  The `POSEvaluator` measures the performance of the given `POSTagger` with the provided reference `POSSample`s.
POSEvaluator(POSTagger, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSEvaluator
  Initializes the current instance.
POSModel - Class in opennlp.tools.postag
  The `POSModel` is the model used by a learnable `POSTagger`.
POSModel(String, SequenceClassificationModel<String>, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
POSModel(String, MaxentModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
POSModel(String, MaxentModel, int, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
POSModel(InputStream) - Constructor for class opennlp.tools.postag.POSModel
POSModel(File) - Constructor for class opennlp.tools.postag.POSModel
POSModel(Path) - Constructor for class opennlp.tools.postag.POSModel
POSModel(URL) - Constructor for class opennlp.tools.postag.POSModel
POSModelLoader - Class in opennlp.tools.cmdline.postag
  Loads a POS Tagger Model for the command line tools.
POSModelLoader() - Constructor for class opennlp.tools.cmdline.postag.POSModelLoader
POSModelSerializer - Class in opennlp.tools.util.model
POSModelSerializer() - Constructor for class opennlp.tools.util.model.POSModelSerializer
POSSample - Class in opennlp.tools.postag
  Represents an pos-tagged sentence.
POSSample(String[], String[]) - Constructor for class opennlp.tools.postag.POSSample
POSSample(List<String>, List<String>) - Constructor for class opennlp.tools.postag.POSSample
POSSample(List<String>, List<String>, String[][]) - Constructor for class opennlp.tools.postag.POSSample
POSSample(String[], String[], String[][]) - Constructor for class opennlp.tools.postag.POSSample
POSSampleEventStream - Class in opennlp.tools.postag
  This class reads the `POSSample`s from the given `Iterator` and converts the `POSSample`s into `Event`s which can be used by the maxent library for training.
POSSampleEventStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleEventStream
  Initializes the current instance with the given samples and the given `POSContextGenerator`.
POSSampleEventStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleEventStream
  Initializes the current instance with given samples and a `DefaultPOSContextGenerator`.
POSSampleSequenceStream - Class in opennlp.tools.postag
POSSampleSequenceStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream
POSSampleSequenceStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream
PosSampleStream - Class in opennlp.tools.parser
PosSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.PosSampleStream
POSTagger - Interface in opennlp.tools.postag
  The interface for part of speech taggers.
POSTaggerConverterTool - Class in opennlp.tools.cmdline.postag
POSTaggerConverterTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerConverterTool
POSTaggerCrossValidator - Class in opennlp.tools.postag
POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
  Creates a `POSTaggerCrossValidator` that builds a ngram dictionary dynamically.
POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
  Creates a `POSTaggerCrossValidator` using the given `POSTaggerFactory`.
POSTaggerCrossValidatorTool - Class in opennlp.tools.cmdline.postag
POSTaggerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
POSTaggerEvaluationMonitor - Interface in opennlp.tools.postag
POSTaggerEvaluatorTool - Class in opennlp.tools.cmdline.postag
POSTaggerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
POSTaggerFactory - Class in opennlp.tools.postag
  The factory that provides POS Tagger default implementations and resources
POSTaggerFactory() - Constructor for class opennlp.tools.postag.POSTaggerFactory
  Creates a `POSTaggerFactory` that provides the default implementation of the resources.
POSTaggerFactory(Dictionary, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory
  Deprecated.
  this constructor is here for backward compatibility and is not functional anymore in the training of 1.8.x series models
POSTaggerFactory(byte[], Map<String, Object>, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory
POSTaggerFactory.POSDictionarySerializer - Class in opennlp.tools.postag
PosTaggerFeatureGenerator - Class in opennlp.tools.util.featuregen
PosTaggerFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
PosTaggerFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
PosTaggerFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
POSTaggerFineGrainedReportListener - Class in opennlp.tools.cmdline.postag
  Generates a detailed report for the POS Tagger.
POSTaggerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
  Creates a listener that will print to `System.err`
POSTaggerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`
POSTaggerME - Class in opennlp.tools.postag
  A part-of-speech tagger that uses maximum entropy.
POSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.POSTaggerME
  Initializes the current instance with the provided model.
POSTaggerNameFeatureGenerator - Class in opennlp.tools.util.featuregen
  Adds the token POS Tag as feature.
POSTaggerNameFeatureGenerator(POSTagger) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator
  Initializes a new instance.
POSTaggerNameFeatureGenerator(POSModel) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator
  Initializes a new instance.
POSTaggerNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
POSTaggerNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
POSTaggerTool - Class in opennlp.tools.cmdline.postag
POSTaggerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTool
POSTaggerTrainerTool - Class in opennlp.tools.cmdline.postag
POSTaggerTrainerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
POSToSentenceSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
POSToSentenceSampleStream(Detokenizer, ObjectStream<POSSample>, int) - Constructor for class opennlp.tools.formats.convert.POSToSentenceSampleStream
POSToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
POSToTokenSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
POSToTokenSampleStream(Detokenizer, ObjectStream<POSSample>) - Constructor for class opennlp.tools.formats.convert.POSToTokenSampleStream
POSToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
precision(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure
  Calculates the precision score for the given reference and predicted spans.
predictLanguage(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector
predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME
  This will process the full content length.
predictLanguages(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector
predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME
  This will process the full content length.
predictLemmas(int, String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Predict all possible lemmas (using a default upper bound).
predictNextTokens(StringList) - Method in interface opennlp.tools.languagemodel.LanguageModel
  Deprecated.
  use `LanguageModel.predictNextTokens(String...)`
predictNextTokens(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel
  Predict the most probable output sequence of tokens, given an input sequence of tokens.
predictNextTokens(StringList) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
predictNextTokens(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
predictSES(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Predict Short Edit Script (automatically induced lemma class).
predIndexes - Variable in class opennlp.tools.ml.model.ComparableEvent
PrefixFeatureGenerator - Class in opennlp.tools.util.featuregen
PrefixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator
PrefixFeatureGenerator(int) - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator
PrefixFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
PrefixFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory
PREV_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
PreviousMapFeatureGenerator - Class in opennlp.tools.util.featuregen
  This `AdaptiveFeatureGenerator` generates features indicating the outcome associated with a previously occuring word.
PreviousMapFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
PreviousMapFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
PreviousMapFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory
PreviousTwoMapFeatureGenerator - Class in opennlp.tools.util.featuregen
  This `AdaptiveFeatureGenerator` generates features indicating the outcome associated with two previously occuring words.
PreviousTwoMapFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
printSummary() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
Prior - Interface in opennlp.tools.ml.model
  This interface allows one to implement a prior distribution for use in maximum entropy model training.
Probabilities<T> - Class in opennlp.tools.ml.naivebayes
  Class implementing the probability distribution over labels returned by a classifier.
Probabilities() - Constructor for class opennlp.tools.ml.naivebayes.Probabilities
Probability<T> - Class in opennlp.tools.ml.naivebayes
  Class implementing the probability for a label.
Probability(T) - Constructor for class opennlp.tools.ml.naivebayes.Probability
ProbingLanguageDetectionResult - Class in opennlp.tools.langdetect
ProbingLanguageDetectionResult(Language[], int) - Constructor for class opennlp.tools.langdetect.ProbingLanguageDetectionResult
probingPredictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME
  This will stop processing early if the stopping criteria specified in `LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG` are met.
probingPredictLanguages(CharSequence, LanguageDetectorConfig) - Method in class opennlp.tools.langdetect.LanguageDetectorME
  This will stop processing early if the stopping criteria specified in `LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG` are met.
probs(double[]) - Method in class opennlp.tools.chunker.ChunkerME
  Populates the specified array with the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.chunker.ChunkerME
  Returns an array with the probabilities of the last decoded sequence.
probs(double[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Populates the specified array with the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Returns an array with the probabilities of the last decoded sequence.
probs(double[]) - Method in class opennlp.tools.namefind.NameFinderME
  Populates the specified array with the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.namefind.NameFinderME
  Returns an array with the probabilities of the last decoded sequence.
probs(Span[]) - Method in class opennlp.tools.namefind.NameFinderME
  Returns an array of probabilities for each of the specified spans which is the arithmetic mean of the probabilities for each of the outcomes which make up the span.
probs(double[]) - Method in class opennlp.tools.postag.POSTaggerME
  Populates the specified array with the probabilities for each tag of the last tagged sentence.
probs() - Method in class opennlp.tools.postag.POSTaggerME
  Returns an array with the probabilities for each tag of the last tagged sentence.
processSample(DocumentSample) - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
  Evaluates the given reference `DocumentSample` object.
processSample(LanguageSample) - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
  Evaluates the given reference `LanguageSample` object.
pruneParse(Parse) - Static method in class opennlp.tools.parser.Parse
  Prune the specified sentence parse of vacuous productions.
ptEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
put(StringList) - Method in class opennlp.tools.dictionary.Dictionary
  Adds the tokens to the dictionary as one new entry.
put(String, String...) - Method in interface opennlp.tools.postag.MutableTagDictionary
  Associates the specified tags with the specified word.
put(String, String...) - Method in class opennlp.tools.postag.POSDictionary
put(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
put(String, String) - Method in class opennlp.tools.util.TrainingParameters
put(String, String, int) - Method in class opennlp.tools.util.TrainingParameters
put(String, int) - Method in class opennlp.tools.util.TrainingParameters
put(String, String, double) - Method in class opennlp.tools.util.TrainingParameters
put(String, double) - Method in class opennlp.tools.util.TrainingParameters
put(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters
put(String, boolean) - Method in class opennlp.tools.util.TrainingParameters
putIfAbsent(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
putIfAbsent(String, String) - Method in class opennlp.tools.util.TrainingParameters
putIfAbsent(String, String, int) - Method in class opennlp.tools.util.TrainingParameters
putIfAbsent(String, int) - Method in class opennlp.tools.util.TrainingParameters
putIfAbsent(String, String, double) - Method in class opennlp.tools.util.TrainingParameters
putIfAbsent(String, double) - Method in class opennlp.tools.util.TrainingParameters
putIfAbsent(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters
putIfAbsent(String, boolean) - Method in class opennlp.tools.util.TrainingParameters

## Q

QNMinimizer - Class in opennlp.tools.ml.maxent.quasinewton
  Implementation of L-BFGS which supports L1-, L2-regularization and Elastic Net for solving convex optimization problems.
QNMinimizer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
QNMinimizer(double, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
QNMinimizer(double, double, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
QNMinimizer(double, double, int, int, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
QNMinimizer(double, double, int, int, int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  Constructor
QNMinimizer.Evaluator - Interface in opennlp.tools.ml.maxent.quasinewton
  Evaluate quality of training parameters.
QNMinimizer.L2RegFunction - Class in opennlp.tools.ml.maxent.quasinewton
  L2-regularized objective function
QNModel - Class in opennlp.tools.ml.maxent.quasinewton
QNModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNModel
QNModelReader - Class in opennlp.tools.ml.maxent.io
QNModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader
QNModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader
QNModelWriter - Class in opennlp.tools.ml.maxent.io
QNModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.QNModelWriter
QNTrainer - Class in opennlp.tools.ml.maxent.quasinewton
  Maxent model trainer using L-BFGS algorithm.
QNTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
QNTrainer(boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
QNTrainer(int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
QNTrainer(int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
QNTrainer(int, int, boolean) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
QNTrainer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer

## R

read() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
read() - Method in class opennlp.tools.chunker.ChunkSampleStream
read() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
read() - Method in class opennlp.tools.doccat.DocumentSampleStream
read() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
read() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
read() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
read() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
read() - Method in class opennlp.tools.formats.ad.ADSentenceStream
read() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
read() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
read() - Method in class opennlp.tools.formats.brat.BratDocumentStream
read() - Method in class opennlp.tools.formats.brat.SegmenterObjectStream
read() - Method in class opennlp.tools.formats.Conll02NameSampleStream
read() - Method in class opennlp.tools.formats.Conll03NameSampleStream
read() - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStream
read() - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStream
read() - Method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStream
read() - Method in class opennlp.tools.formats.conllu.ConlluStream
read() - Method in class opennlp.tools.formats.conllu.ConlluTokenSampleStream
read() - Method in class opennlp.tools.formats.ConllXPOSSampleStream
read() - Method in class opennlp.tools.formats.convert.AbstractToSentenceSampleStream
read() - Method in class opennlp.tools.formats.convert.FileToByteArraySampleStream
read() - Method in class opennlp.tools.formats.convert.FileToStringSampleStream
read() - Method in class opennlp.tools.formats.convert.NameToTokenSampleStream
read() - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStream
read() - Method in class opennlp.tools.formats.convert.POSToTokenSampleStream
read() - Method in class opennlp.tools.formats.DirectorySampleStream
read() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
read() - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStream
read() - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream
read() - Method in class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream
read() - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStream
read() - Method in class opennlp.tools.formats.muc.MucNameSampleStream
read() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
read() - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStream
read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream
read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream
read() - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStream
read() - Method in class opennlp.tools.langdetect.LanguageDetectorSampleStream
read() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
read() - Method in class opennlp.tools.lemmatizer.LemmaSampleStream
read() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
read() - Method in class opennlp.tools.ml.model.FileEventStream
read() - Method in class opennlp.tools.ml.model.HashSumEventStream
read() - Method in class opennlp.tools.ml.model.RealValueFileEventStream
read() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
read() - Method in class opennlp.tools.namefind.NameSampleDataStream
read() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
read() - Method in class opennlp.tools.namefind.NameSampleTypeFilter
read() - Method in class opennlp.tools.parser.ChunkSampleStream
read() - Method in class opennlp.tools.parser.ParseSampleStream
read() - Method in class opennlp.tools.parser.PosSampleStream
read() - Method in class opennlp.tools.postag.POSSampleSequenceStream
read() - Method in class opennlp.tools.postag.WordTagSampleStream
  Parses the next sentence and return the next `POSSample` object.
read() - Method in class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
read() - Method in class opennlp.tools.sentdetect.SentenceSampleStream
read() - Method in class opennlp.tools.tokenize.TokenizerStream
read() - Method in class opennlp.tools.tokenize.TokenSampleStream
read() - Method in class opennlp.tools.tokenize.WhitespaceTokenStream
read() - Method in class opennlp.tools.util.AbstractEventStream
read() - Method in class opennlp.tools.util.AbstractObjectStream
read() - Method in class opennlp.tools.util.CollectionObjectStream
read() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
read() - Method in class opennlp.tools.util.EventTraceStream
read(InputStream) - Static method in class opennlp.tools.util.model.ModelUtil
  Writes the provided `InputStream` into a byte array which is returned
read() - Method in interface opennlp.tools.util.ObjectStream
  Returns the next object.
read() - Method in class opennlp.tools.util.ParagraphStream
read() - Method in class opennlp.tools.util.PlainTextByLineStream
readDouble() - Method in class opennlp.tools.ml.model.AbstractModelReader
  Implement as needed for the format the model is stored in.
readDouble() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
readDouble() - Method in interface opennlp.tools.ml.model.DataReader
readDouble() - Method in class opennlp.tools.ml.model.ObjectDataReader
readDouble() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
readInt() - Method in class opennlp.tools.ml.model.AbstractModelReader
  Implement as needed for the format the model is stored in.
readInt() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
readInt() - Method in interface opennlp.tools.ml.model.DataReader
readInt() - Method in class opennlp.tools.ml.model.ObjectDataReader
readInt() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
readUTF() - Method in class opennlp.tools.ml.model.AbstractModelReader
  Implement as needed for the format the model is stored in.
readUTF() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
readUTF() - Method in interface opennlp.tools.ml.model.DataReader
readUTF() - Method in class opennlp.tools.ml.model.ObjectDataReader
readUTF() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
RealBasicEventStream - Class in opennlp.tools.ml.maxent
RealBasicEventStream(ObjectStream<String>) - Constructor for class opennlp.tools.ml.maxent.RealBasicEventStream
RealValueFileEventStream - Class in opennlp.tools.ml.model
RealValueFileEventStream(String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
RealValueFileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
RealValueFileEventStream(File) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
recall(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure
  Calculates the recall score for the given reference and predicted spans.
recognize(String) - Static method in class opennlp.tools.util.featuregen.StringPattern
reduceChunks(Parse[], int, Parse) - Static method in class opennlp.tools.parser.chunking.ParserEventStream
RegexNameFinder - Class in opennlp.tools.namefind
  Name finder based on a series of regular expressions.
RegexNameFinder(Map<String, Pattern[]>) - Constructor for class opennlp.tools.namefind.RegexNameFinder
RegexNameFinder(Pattern[], String) - Constructor for class opennlp.tools.namefind.RegexNameFinder
RegexNameFinder(Pattern[]) - Constructor for class opennlp.tools.namefind.RegexNameFinder
  Deprecated.
RegexNameFinderFactory - Class in opennlp.tools.namefind
  Returns a RegexNameFinder based on A selection of defaults or a configuration and a selection of defaults
RegexNameFinderFactory() - Constructor for class opennlp.tools.namefind.RegexNameFinderFactory
RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER - Enum in opennlp.tools.namefind
RegexNameFinderFactory.RegexAble - Interface in opennlp.tools.namefind
register(Map<String, ArtifactSerializer>) - Static method in class opennlp.tools.util.model.GenericModelSerializer
registerAllowedPackage(String) - Static method in class opennlp.tools.util.ext.ExtensionLoader
  Registers an additional package prefix whose classes are permitted to be loaded as OpenNLP extensions.
registerFactory() - Static method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ChunkerSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.DocumentSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.LanguageDetectorSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.LemmatizerSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.NameSampleDataStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ParseSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.SentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.TokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.WordTagSampleStreamFactory
REL_GRAD_NORM_TOL - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
RELATION_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
RelationAnnotation - Class in opennlp.tools.formats.brat
remove(StringList) - Method in class opennlp.tools.dictionary.Dictionary
  Removes the given tokens form the current instance.
remove() - Method in class opennlp.tools.ml.model.HashSumEventStream
remove(String) - Method in class opennlp.tools.ngram.NGramCharModel
  Removes the specified tokens form the NGram model, they are just dropped.
remove(StringList) - Method in class opennlp.tools.ngram.NGramModel
  Removes the specified tokens form the NGram model, they are just dropped.
remove(int) - Method in class opennlp.tools.parser.Parse
remove() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
remove() - Method in class opennlp.tools.util.EventTraceStream
remove() - Method in class opennlp.tools.util.ReverseListIterator
replaceNewLineEscapeTags(String) - Static method in class opennlp.tools.sentdetect.SentenceSampleStream
reset() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
reset() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
reset() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
reset() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
reset() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
reset() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
reset() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
reset() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
reset() - Method in class opennlp.tools.formats.brat.BratDocumentStream
reset() - Method in class opennlp.tools.formats.Conll02NameSampleStream
reset() - Method in class opennlp.tools.formats.Conll03NameSampleStream
reset() - Method in class opennlp.tools.formats.conllu.ConlluStream
reset() - Method in class opennlp.tools.formats.DirectorySampleStream
reset() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
reset() - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream
reset() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
reset() - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStream
reset() - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStream
reset() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
reset() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
reset() - Method in class opennlp.tools.ml.model.FileEventStream
reset() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
reset() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
reset() - Method in class opennlp.tools.postag.POSSampleSequenceStream
reset() - Method in class opennlp.tools.stemmer.PorterStemmer
  reset() resets the stemmer so it can stem another word.
reset() - Method in class opennlp.tools.tokenize.TokenizerStream
reset() - Method in class opennlp.tools.util.AbstractEventStream
reset() - Method in class opennlp.tools.util.AbstractObjectStream
reset() - Method in class opennlp.tools.util.CollectionObjectStream
reset() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
  Resets the training sample.
reset() - Method in class opennlp.tools.util.FilterObjectStream
reset() - Method in interface opennlp.tools.util.ObjectStream
  Repositions the stream at the beginning and the previously seen object sequence will be repeated exactly.
reset() - Method in class opennlp.tools.util.PlainTextByLineStream
reset() - Method in interface opennlp.tools.util.ResetableIterator
  Sets the `Iterator` back to the first retrieved element, the seen sequence of elements must be repeated.
ResetableIterator<E> - Interface in opennlp.tools.util
  This interface makes an `Iterator` resetable.
ReverseListIterator<T> - Class in opennlp.tools.util
  An iterator for a list which returns values in the opposite order as the typical list iterator.
ReverseListIterator(List<T>) - Constructor for class opennlp.tools.util.ReverseListIterator
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
run(String[]) - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatTool
run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool
run(String[]) - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
run(String[]) - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
run(String, String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
run(String, String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
run(String[]) - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.parser.ParserEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.parser.ParserTool
run(String, String[]) - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool
run(String[]) - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
  Perform sentence detection the input stream.
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool

## S

scoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Returns a map in which the key is the category name and the value is the score
scoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
  Returns a map in which the key is the category name and the value is the score
SDContextGenerator - Interface in opennlp.tools.sentdetect
  Interface for `SentenceDetectorME` context generators.
SDCrossValidator - Class in opennlp.tools.sentdetect
  A cross validator for the sentence detector.
SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
SDCrossValidator(String, TrainingParameters) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
  Deprecated.
  Use `SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...)` and pass in a `SentenceDetectorFactory`.
SDCrossValidator(String, TrainingParameters, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
  Deprecated.
  use `SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...)` instead and pass in a TrainingParameters object.
SDCrossValidator(String) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
  Deprecated.
  use `SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...)` instead and pass in a TrainingParameters object.
SDEventStream - Class in opennlp.tools.sentdetect
SDEventStream(ObjectStream<SentenceSample>, SDContextGenerator, EndOfSentenceScanner) - Constructor for class opennlp.tools.sentdetect.SDEventStream
  Initializes the current instance.
seen - Variable in class opennlp.tools.ml.model.ComparableEvent
SegmenterObjectStream<S,T> - Class in opennlp.tools.formats.brat
SegmenterObjectStream(ObjectStream<S>) - Constructor for class opennlp.tools.formats.brat.SegmenterObjectStream
sentDetect(String) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector
sentDetect(String) - Method in interface opennlp.tools.sentdetect.SentenceDetector
  Sentence detect a string.
sentDetect(String) - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Detect sentences in a String.
Sentence() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.Sentence
SentenceContextGenerator - Class in opennlp.tools.sentdetect.lang.th
  Creates contexts/features for end-of-sentence detection in Thai text.
SentenceContextGenerator() - Constructor for class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
SentenceDetector - Interface in opennlp.tools.sentdetect
  The interface for sentence detectors, which find the sentence boundaries in a text.
SentenceDetectorConverterTool - Class in opennlp.tools.cmdline.sentdetect
SentenceDetectorConverterTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorConverterTool
SentenceDetectorCrossValidatorTool - Class in opennlp.tools.cmdline.sentdetect
SentenceDetectorCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
SentenceDetectorEvaluationMonitor - Interface in opennlp.tools.sentdetect
SentenceDetectorEvaluator - Class in opennlp.tools.sentdetect
  The `SentenceDetectorEvaluator` measures the performance of the given `SentenceDetector` with the provided reference `SentenceSample`s.
SentenceDetectorEvaluator(SentenceDetector, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorEvaluator
  Initializes the current instance.
SentenceDetectorEvaluatorTool - Class in opennlp.tools.cmdline.sentdetect
SentenceDetectorEvaluatorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
SentenceDetectorFactory - Class in opennlp.tools.sentdetect
  The factory that provides SentenceDetecor default implementations and resources
SentenceDetectorFactory() - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory
  Creates a `SentenceDetectorFactory` that provides the default implementation of the resources.
SentenceDetectorFactory(String, boolean, Dictionary, char[]) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory
  Creates a `SentenceDetectorFactory`.
SentenceDetectorME - Class in opennlp.tools.sentdetect
  A sentence detector for splitting up raw text into sentences.
SentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME
  Initializes the current instance.
SentenceDetectorME(SentenceModel, Factory) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME
  Deprecated.
  Use a `SentenceDetectorFactory` to extend SentenceDetector functionality.
SentenceDetectorTool - Class in opennlp.tools.cmdline.sentdetect
  A sentence detector which uses a maxent model to predict the sentences.
SentenceDetectorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
SentenceDetectorTrainerTool - Class in opennlp.tools.cmdline.sentdetect
SentenceDetectorTrainerTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
SentenceEvaluationErrorListener - Class in opennlp.tools.cmdline.sentdetect
  A default implementation of `EvaluationMonitor` that prints to an output stream.
SentenceEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
  Creates a listener that will print to System.err
SentenceEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
SentenceFeatureGenerator - Class in opennlp.tools.util.featuregen
  This feature generator creates sentence begin and end features.
SentenceFeatureGenerator(boolean, boolean) - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGenerator
SentenceFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
SentenceFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory
SentenceModel - Class in opennlp.tools.sentdetect
  The `SentenceModel` is the model used by a learnable `SentenceDetector`.
SentenceModel(String, MaxentModel, Map<String, String>, SentenceDetectorFactory) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceModel(String, MaxentModel, boolean, Dictionary, char[], Map<String, String>) - Constructor for class opennlp.tools.sentdetect.SentenceModel
  Deprecated.
  Use `SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory)` instead and pass in a `SentenceDetectorFactory`
SentenceModel(String, MaxentModel, boolean, Dictionary, char[]) - Constructor for class opennlp.tools.sentdetect.SentenceModel
  Deprecated.
  Use `SentenceModel(String, MaxentModel, Map, SentenceDetectorFactory)` instead and pass in a `SentenceDetectorFactory`
SentenceModel(String, MaxentModel, boolean, Dictionary, Map<String, String>) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceModel(String, MaxentModel, boolean, Dictionary) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceModel(InputStream) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceModel(File) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceModel(Path) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceModel(URL) - Constructor for class opennlp.tools.sentdetect.SentenceModel
SentenceParser() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
SentenceSample - Class in opennlp.tools.sentdetect
  A `SentenceSample` contains a document with begin indexes of the individual sentences.
SentenceSample(CharSequence, Span...) - Constructor for class opennlp.tools.sentdetect.SentenceSample
  Initializes the current instance.
SentenceSample(Detokenizer, String[][]) - Constructor for class opennlp.tools.sentdetect.SentenceSample
SentenceSampleStream - Class in opennlp.tools.sentdetect
  This class is a stream filter which reads a sentence by line samples from a `Reader` and converts them into `SentenceSample` objects.
SentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.SentenceSampleStream
SentenceSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `SentenceSampleStream`s.
sentPosDetect(String) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector
sentPosDetect(String) - Method in interface opennlp.tools.sentdetect.SentenceDetector
  Sentence detect a string.
sentPosDetect(String) - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Detect the position of the first words of sentences in a String.
Sequence<T> - Class in opennlp.tools.ml.model
  Class which models a sequence.
Sequence(Event[], T) - Constructor for class opennlp.tools.ml.model.Sequence
  Creates a new sequence made up of the specified events and derived from the specified source.
Sequence - Class in opennlp.tools.util
  Represents a weighted sequence of outcomes.
Sequence() - Constructor for class opennlp.tools.util.Sequence
  Creates a new sequence of outcomes.
Sequence(Sequence) - Constructor for class opennlp.tools.util.Sequence
Sequence(Sequence, String, double) - Constructor for class opennlp.tools.util.Sequence
Sequence(List<String>) - Constructor for class opennlp.tools.util.Sequence
SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.EventModelSequenceTrainer
SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.SequenceTrainer
SequenceClassificationModel<T> - Interface in opennlp.tools.ml.model
  A classification model that can label an input sequence.
SequenceCodec<T> - Interface in opennlp.tools.util
SequenceStream - Interface in opennlp.tools.ml.model
  Interface for streams of sequences used to train sequence models.
SequenceStreamEventStream - Class in opennlp.tools.ml.model
  Class which turns a sequence stream into an event stream.
SequenceStreamEventStream(SequenceStream) - Constructor for class opennlp.tools.ml.model.SequenceStreamEventStream
SequenceTrainer - Interface in opennlp.tools.ml
SequenceValidator<T> - Interface in opennlp.tools.util
SerializableArtifact - Interface in opennlp.tools.util.model
serialize(OutputStream) - Method in class opennlp.tools.dictionary.Dictionary
  Writes the current instance to the given `OutputStream`.
serialize(OutputStream, Iterator<Entry>) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
  Deprecated.
  Use `DictionaryEntryPersistor.serialize(java.io.OutputStream, java.util.Iterator, boolean)` instead
serialize(OutputStream, Iterator<Entry>, boolean) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
  Serializes the given entries to the given `OutputStream`.
serialize(OutputStream) - Method in class opennlp.tools.ngram.NGramModel
  Writes the ngram instance to the given `OutputStream`.
serialize(HeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
serialize(Writer) - Method in class opennlp.tools.parser.lang.en.HeadRules
  Writes the head rules to the writer in a format suitable for loading the head rules again with the constructor.
serialize(AncoraSpanishHeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
serialize(Writer) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
  Writes the head rules to the writer in a format suitable for loading the head rules again with the constructor.
serialize(OutputStream) - Method in class opennlp.tools.postag.POSDictionary
  Writes the `POSDictionary` to the given `OutputStream`; After the serialization is finished the provided `OutputStream` remains open.
serialize(POSDictionary, OutputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
serialize(OutputStream) - Method in class opennlp.tools.tokenize.DetokenizationDictionary
serialize(BrownCluster, OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster
serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary
serialize(WordClusterDictionary, OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
serialize(T, OutputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer
  Serializes the artifact to the provided `OutputStream`.
serialize(OutputStream) - Method in class opennlp.tools.util.model.BaseModel
  Serializes the model to the given `OutputStream`.
serialize(File) - Method in class opennlp.tools.util.model.BaseModel
serialize(Path) - Method in class opennlp.tools.util.model.BaseModel
serialize(byte[], OutputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer
serialize(ChunkerModel, OutputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer
serialize(Dictionary, OutputStream) - Method in class opennlp.tools.util.model.DictionarySerializer
serialize(AbstractModel, OutputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
serialize(POSModel, OutputStream) - Method in class opennlp.tools.util.model.POSModelSerializer
serialize(OutputStream) - Method in class opennlp.tools.util.TrainingParameters
set(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Assigns a probability to a label, discarding any previously assigned probability.
set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Assigns a probability to a label, discarding any previously assigned probability.
set(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a probability to a label, discarding any previously assigned probability.
set(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a probability to a label, discarding any previously assigned probability.
set(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Assigns a probability to a label, discarding any previously assigned probability.
set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Assigns a probability to a label, discarding any previously assigned probability.
set(double) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a probability to a label, discarding any previously assigned probability.
set(Probability) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a probability to a label, discarding any previously assigned probability.
setAll(double, double, double, double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Update line search elements
setAll(double, double, double, double[], double[], double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Update line search elements
setChild(int, String) - Method in class opennlp.tools.parser.Parse
  Replaces the child at the specified index with a new child with the specified label.
setChunkSize(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
setConfidence(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Sets the best confidence with which this set of probabilities has been calculated.
setCount(String, int) - Method in class opennlp.tools.ngram.NGramCharModel
  Sets the count of an existing ngram.
setCount(StringList, int) - Method in class opennlp.tools.ngram.NGramModel
  Sets the count of an existing ngram.
setCurrentContext(String[][]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
setCurrPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setDerivation(StringBuffer) - Method in class opennlp.tools.parser.Parse
  Specifies the derivation string to be associated with this parse.
setDictionary(Dictionary) - Method in class opennlp.tools.postag.POSTaggerFactory
  Deprecated.
setDictionary(Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
setDictionary(String, Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
setEnd(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
setErrorReporting(boolean) - Method in class opennlp.tools.parser.AbstractBottomUpParser
  Specifies whether the parser should report when it was unable to find a parse for a particular sentence.
setEvaluator(QNMinimizer.Evaluator) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
setFctEvalCount(int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setFeatureGenerators(FeatureGenerator[]) - Method in class opennlp.tools.doccat.DoccatFactory
setFunctionalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setGaussianSigma(double) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Sets whether this trainer will use smoothing while training the model.
setGradAtCurr(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(double) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setItemID(String) - Method in class opennlp.tools.entitylinker.BaseLink
  sets the item id.
setItemName(String) - Method in class opennlp.tools.entitylinker.BaseLink
  Sets the item name.
setItemParentID(String) - Method in class opennlp.tools.entitylinker.BaseLink
  returns the parent ID of the linked item
setItemType(String) - Method in class opennlp.tools.entitylinker.BaseLink
  sets the item type.
setLabel(String) - Method in class opennlp.tools.parser.Constituent
  Assigns the label to the constituent.
setLabel(String) - Method in class opennlp.tools.parser.Parse
  Assigns this parse the specified label.
setLabels(String[], String[]) - Method in interface opennlp.tools.ml.model.Prior
  Method to specify the label for the outcomes and contexts.
setLabels(String[], String[]) - Method in class opennlp.tools.ml.model.UniformPrior
setLemma(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setLevel(int) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setLexeme(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setLinkedEntries(ArrayList<T>) - Method in class opennlp.tools.entitylinker.LinkedSpan
  Sets the n best linked entries from an external data source.
setLog(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Assigns a log probability to a label, discarding any previously assigned probability.
setLog(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a log probability to a label, discarding any previously assigned probability.
setLog(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Assigns a log probability to a label, discarding any previously assigned probability.
setLog(double) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a log probability to a label, discarding any previously assigned probability.
setMaxLength(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
setMetadata(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
setMinConsecImprovements(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
setMinDiff(double) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
setMorphologicalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setmPatterns(Pattern[]) - Method in class opennlp.tools.namefind.RegexNameFinder
setNextPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setNextPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse
  Sets the set of punctuation tags which follow this parse.
setNote(String) - Method in class opennlp.tools.formats.brat.BratAnnotation
setParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext
  Assigns the parameter or expected value at the specified outcomeIndex the specified value.
setParent(Parse) - Method in class opennlp.tools.parser.Parse
  Specifies the parent parse node for this constituent.
setParents(Parse) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
  Assigns parent references for the specified parse so that they are consistent with the children references.
setPrevPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse
  Sets the set of punctuation tags which preceed this parse.
setPseudoGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setRoot(ADSentenceStream.SentenceParser.Node) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
setScoreMap(HashMap<String, Double>) - Method in class opennlp.tools.entitylinker.BaseLink
setSearchTerm(String) - Method in class opennlp.tools.entitylinker.LinkedSpan
  sets the search term that is used to link this span to an external data source
setSecondaryTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setSentenceid(int) - Method in class opennlp.tools.entitylinker.LinkedSpan
  sets the id or index of the sentence from which this span was extracted
setSignVector(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setSkippedAveraging(boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Enables skipped averaging, this flag changes the standard averaging to special averaging instead.
setSmoothing(boolean) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Sets whether this trainer will use smoothing while training the model.
setSmoothingObservation(double) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Sets whether this trainer will use smoothing while training the model.
setStart(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
setStepSize(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setStepSizeDecrease(double) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Enables and sets step size decrease.
setsType(String) - Method in class opennlp.tools.namefind.RegexNameFinder
setSyntacticTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setTagDictionary(TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory
setText(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.Sentence
setTolerance(double) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Specifies the tolerance.
setType(String) - Method in class opennlp.tools.parser.Parse
  Set the type of this constituent to the specified type.
setValue(String, String) - Method in class opennlp.tools.dictionary.serializer.Attributes
  Sets a key/value pair.
setValueAtCurr(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setValueAtNext(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
SgmlParser - Class in opennlp.tools.formats.muc
  SAX style SGML parser.
SgmlParser() - Constructor for class opennlp.tools.formats.muc.SgmlParser
SgmlParser.ContentHandler - Class in opennlp.tools.formats.muc
show(StringBuffer) - Method in class opennlp.tools.parser.Parse
  Appends the specified string buffer with a string representation of this parse.
show() - Method in class opennlp.tools.parser.Parse
  Displays this parse using Penn Treebank-style formatting.
showCodeTree() - Method in class opennlp.tools.parser.Parse
  Prints to standard out a representation of the specified parse which contains hash codes so that parent/child relationships can be explicitly seen.
ShrinkCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  Normalizer to shrink repeated spaces / chars
ShrinkCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
SimplePerceptronSequenceTrainer - Class in opennlp.tools.ml.perceptron
  Trains models for sequences using the perceptron algorithm.
SimplePerceptronSequenceTrainer() - Constructor for class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
SimpleTokenizer - Class in opennlp.tools.tokenize
  Performs tokenization using character classes.
SimpleTokenizer() - Constructor for class opennlp.tools.tokenize.SimpleTokenizer
  Deprecated.
  Use INSTANCE field instead to obtain an instance, constructor will be made private in the future.
SimpleTokenizerTool - Class in opennlp.tools.cmdline.tokenizer
SimpleTokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
size() - Method in class opennlp.tools.dictionary.Dictionary
  Retrieves the number of tokens in the current instance.
size() - Method in class opennlp.tools.ngram.NGramCharModel
  Retrieves the number of `String` entries in the current instance.
size() - Method in class opennlp.tools.ngram.NGramModel
  Retrieves the number of `StringList` entries in the current instance.
size() - Method in class opennlp.tools.util.StringList
  Retrieves the number of tokens inside this list.
size() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
SnowballStemmer - Class in opennlp.tools.stemmer.snowball
SnowballStemmer(SnowballStemmer.ALGORITHM, int) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer
SnowballStemmer(SnowballStemmer.ALGORITHM) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer
SnowballStemmer.ALGORITHM - Enum in opennlp.tools.stemmer.snowball
SORT_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
SORT_PARAM - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
sortedScoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Get a map of the scores sorted in ascending aorder together with their associated categories.
sortedScoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
  Returns a map with the score as a key in ascending order.
Span - Class in opennlp.tools.util
  Class for storing start and end integer offsets.
Span(int, int, String) - Constructor for class opennlp.tools.util.Span
  Initializes a new Span Object.
Span(int, int, String, double) - Constructor for class opennlp.tools.util.Span
  Initializes a new Span Object.
Span(int, int) - Constructor for class opennlp.tools.util.Span
  Initializes a new Span Object.
Span(int, int, double) - Constructor for class opennlp.tools.util.Span
Span(Span, int) - Constructor for class opennlp.tools.util.Span
  Initializes a new Span object with an existing Span which is shifted by an offset.
Span(Span, double) - Constructor for class opennlp.tools.util.Span
  Creates a new immutable span based on an existing span, where the existing span did not include the prob
SPAN_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
SpanAnnotation - Class in opennlp.tools.formats.brat
spansToStrings(Span[], CharSequence) - Static method in class opennlp.tools.util.Span
  Converts an array of `Span`s to an array of `String`s.
spansToStrings(Span[], String[]) - Static method in class opennlp.tools.util.Span
SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME
  Constant indicates a sentence split.
SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME
  Constant indicates a token split.
START - Static variable in class opennlp.tools.namefind.BilouCodec
START - Static variable in class opennlp.tools.namefind.BioCodec
START - Static variable in class opennlp.tools.namefind.NameFinderME
START - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Prefix for outcomes starting a constituent.
start(BundleContext) - Method in class opennlp.tools.util.ext.OSGiExtensionLoader
START_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
START_TAG_PREFIX - Static variable in class opennlp.tools.namefind.NameSampleDataStream
startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
startsWith(Span) - Method in class opennlp.tools.util.Span
  Returns true if the specified span is the begin of this span and the specified span is contained in this span.
stem(String) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word provided as a String.
stem(CharSequence) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word provided as a CharSequence.
stem(char[]) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word contained in a char[].
stem(char[], int, int) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word contained in a portion of a char[] array.
stem(char[], int) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word contained in a leading portion of a char[] array.
stem() - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem the word placed into the Stemmer buffer through calls to add().
stem(int) - Method in class opennlp.tools.stemmer.PorterStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.catalanStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.greekStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.irishStemmer
stem(CharSequence) - Method in class opennlp.tools.stemmer.snowball.SnowballStemmer
stem(CharSequence) - Method in interface opennlp.tools.stemmer.Stemmer
Stemmer - Interface in opennlp.tools.stemmer
  The stemmer is reducing a word to its stem.
stop(BundleContext) - Method in class opennlp.tools.util.ext.OSGiExtensionLoader
StringList - Class in opennlp.tools.util
  The `StringList` is an immutable list of `String`s.
StringList(String) - Constructor for class opennlp.tools.util.StringList
  Initializes the current instance.
StringList(String...) - Constructor for class opennlp.tools.util.StringList
  Initializes the current instance.
StringPattern - Class in opennlp.tools.util.featuregen
  Recognizes predefined patterns in strings.
StringUtil - Class in opennlp.tools.util
StringUtil() - Constructor for class opennlp.tools.util.StringUtil
SuffixFeatureGenerator - Class in opennlp.tools.util.featuregen
SuffixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator
SuffixFeatureGenerator(int) - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator
SuffixFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
SuffixFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory
sumFeatures(Context[], float[], double[]) - Static method in class opennlp.tools.ml.ArrayMath

## T

tag(String[]) - Method in interface opennlp.tools.postag.POSTagger
  Assigns the sentence of tokens pos tags.
tag(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger
tag(String[]) - Method in class opennlp.tools.postag.POSTaggerME
tag(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
tag(int, String[]) - Method in class opennlp.tools.postag.POSTaggerME
  Returns at most the specified number of taggings for the specified sentence.
TagDictionary - Interface in opennlp.tools.postag
  Interface to determine which tags are valid for a particular word based on a tag dictionary.
TaggerModelReplacerTool - Class in opennlp.tools.cmdline.parser
TaggerModelReplacerTool() - Constructor for class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
thEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
THREADS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
THREADS_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
THREADS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
toContraction(String, String) - Static method in class opennlp.tools.formats.ad.PortugueseContractionUtility
  Merges a contraction
toDictionary() - Method in class opennlp.tools.ngram.NGramModel
  Creates a dictionary which contain all `StringList` which are in the current `NGramModel`.
toDictionary(boolean) - Method in class opennlp.tools.ngram.NGramModel
  Creates a dictionary which contains all `StringList`s which are in the current `NGramModel`.
toDoubleArray(List<Double>) - Static method in class opennlp.tools.ml.ArrayMath
  Convert a list of Double objects into an array of primitive doubles
toDoubleBuffer() - Method in interface opennlp.tools.util.wordvector.WordVector
toFloatBuffer() - Method in interface opennlp.tools.util.wordvector.WordVector
toIntArray(List<Integer>) - Static method in class opennlp.tools.ml.ArrayMath
  Convert a list of Integer objects into an array of primitive integers
TOK_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The label for a token node.
TokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates features for different for the class of the token.
TokenClassFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
TokenClassFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
TokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
TokenClassFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory
TokenContextGenerator - Interface in opennlp.tools.tokenize
  Interface for `TokenizerME` context generators.
TokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer
  A default implementation of `EvaluationMonitor` that prints to an output stream.
TokenEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
  Creates a listener that will print to System.err
TokenEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
tokenFeature(String) - Static method in class opennlp.tools.util.featuregen.FeatureGeneratorUtil
  Generates a class name for the specified token.
TokenFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates a feature which contains the token itself.
TokenFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator
TokenFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator
TokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
TokenFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory
tokenize(String) - Method in interface opennlp.tools.tokenize.Tokenizer
  Splits a string into its atomic parts
tokenizePos(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer
tokenizePos(String) - Method in interface opennlp.tools.tokenize.Tokenizer
  Finds the boundaries of atomic parts in a string.
tokenizePos(String) - Method in class opennlp.tools.tokenize.TokenizerME
  Tokenizes the string.
tokenizePos(String) - Method in class opennlp.tools.tokenize.WhitespaceTokenizer
Tokenizer - Interface in opennlp.tools.tokenize
  The interface for tokenizers, which segment a string into its tokens.
TokenizerConverterTool - Class in opennlp.tools.cmdline.tokenizer
TokenizerConverterTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerConverterTool
TokenizerCrossValidator - Class in opennlp.tools.tokenize
TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator
TokenizerCrossValidatorTool - Class in opennlp.tools.cmdline.tokenizer
TokenizerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
TokenizerEvaluationMonitor - Interface in opennlp.tools.tokenize
TokenizerEvaluator - Class in opennlp.tools.tokenize
  The `TokenizerEvaluator` measures the performance of the given `Tokenizer` with the provided reference `TokenSample`s.
TokenizerEvaluator(Tokenizer, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerEvaluator
  Initializes the current instance with the given `Tokenizer`.
TokenizerFactory - Class in opennlp.tools.tokenize
  The factory that provides `Tokenizer` default implementations and resources.
TokenizerFactory() - Constructor for class opennlp.tools.tokenize.TokenizerFactory
  Creates a `TokenizerFactory` that provides the default implementation of the resources.
TokenizerFactory(String, Dictionary, boolean, Pattern) - Constructor for class opennlp.tools.tokenize.TokenizerFactory
  Creates a `TokenizerFactory`.
TokenizerME - Class in opennlp.tools.tokenize
  A Tokenizer for converting raw text into separated tokens.
TokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.TokenizerME
TokenizerME(TokenizerModel, Factory) - Constructor for class opennlp.tools.tokenize.TokenizerME
  Deprecated.
  use `TokenizerFactory` to extend the Tokenizer functionality
TokenizerMEEvaluatorTool - Class in opennlp.tools.cmdline.tokenizer
TokenizerMEEvaluatorTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
TokenizerMETool - Class in opennlp.tools.cmdline.tokenizer
TokenizerMETool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerMETool
TokenizerModel - Class in opennlp.tools.tokenize
  The `TokenizerModel` is the model used by a learnable `Tokenizer`.
TokenizerModel(MaxentModel, Map<String, String>, TokenizerFactory) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes the current instance.
TokenizerModel(InputStream) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes the current instance.
TokenizerModel(File) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes the current instance.
TokenizerModel(Path) - Constructor for class opennlp.tools.tokenize.TokenizerModel
TokenizerModel(URL) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes the current instance.
TokenizerModelLoader - Class in opennlp.tools.cmdline.tokenizer
  Loads a Tokenizer Model for the command line tools.
TokenizerModelLoader() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerModelLoader
TokenizerStream - Class in opennlp.tools.tokenize
  The `TokenizerStream` uses a tokenizer to tokenize the input string and output `TokenSample`s.
TokenizerStream(Tokenizer, ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenizerStream
TokenizerTrainerTool - Class in opennlp.tools.cmdline.tokenizer
TokenizerTrainerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
TokenNameFinder - Interface in opennlp.tools.namefind
  The interface for name finders which provide name tags for a sequence of tokens.
TokenNameFinderConverterTool - Class in opennlp.tools.cmdline.namefind
  Tool to convert multiple data formats into native OpenNLP name finder training format.
TokenNameFinderConverterTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderConverterTool
TokenNameFinderCrossValidator - Class in opennlp.tools.namefind
TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, SequenceCodec<String>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
  Name finder cross validator
TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
TokenNameFinderCrossValidator(String, String, TrainingParameters, TokenNameFinderFactory, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
TokenNameFinderCrossValidatorTool - Class in opennlp.tools.cmdline.namefind
TokenNameFinderCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
TokenNameFinderDetailedFMeasureListener - Class in opennlp.tools.cmdline.namefind
TokenNameFinderDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderDetailedFMeasureListener
TokenNameFinderEvaluationMonitor - Interface in opennlp.tools.namefind
TokenNameFinderEvaluator - Class in opennlp.tools.namefind
  The `TokenNameFinderEvaluator` measures the performance of the given `TokenNameFinder` with the provided reference `NameSample`s.
TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderEvaluator
  Initializes the current instance with the given `TokenNameFinder`.
TokenNameFinderEvaluatorTool - Class in opennlp.tools.cmdline.namefind
TokenNameFinderEvaluatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
TokenNameFinderFactory - Class in opennlp.tools.namefind
TokenNameFinderFactory() - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory
  Creates a `TokenNameFinderFactory` that provides the default implementation of the resources.
TokenNameFinderFactory(byte[], Map<String, Object>, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory
TokenNameFinderFineGrainedReportListener - Class in opennlp.tools.cmdline.namefind
  Generates a detailed report for the NameFinder.
TokenNameFinderFineGrainedReportListener(SequenceCodec<String>) - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
  Creates a listener that will print to `System.err`
TokenNameFinderFineGrainedReportListener(SequenceCodec<String>, OutputStream) - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`
TokenNameFinderModel - Class in opennlp.tools.namefind
  The `TokenNameFinderModel` is the model used by a learnable `TokenNameFinder`.
TokenNameFinderModel(String, SequenceClassificationModel<String>, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
TokenNameFinderModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
TokenNameFinderModel(String, MaxentModel, Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
TokenNameFinderModel(InputStream) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
TokenNameFinderModel(File) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
TokenNameFinderModel(Path) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
TokenNameFinderModel(URL) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
TokenNameFinderModel.FeatureGeneratorCreationError - Exception in opennlp.tools.namefind
TokenNameFinderModelLoader - Class in opennlp.tools.cmdline.namefind
  Loads a Token Name Finder Model for the command line tools.
TokenNameFinderModelLoader() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderModelLoader
TokenNameFinderTool - Class in opennlp.tools.cmdline.namefind
TokenNameFinderTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderTool
TokenNameFinderTrainerTool - Class in opennlp.tools.cmdline.namefind
TokenNameFinderTrainerTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
TokenPatternFeatureGenerator - Class in opennlp.tools.util.featuregen
  Partitions tokens into sub-tokens based on character classes and generates class features for each of the sub-tokens and combinations of those sub-tokens.
TokenPatternFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
  Initializes a new instance.
TokenPatternFeatureGenerator(Tokenizer) - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
  Initializes a new instance.
TokenPatternFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
TokenPatternFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory
tokens() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
TokenSample - Class in opennlp.tools.tokenize
  A `TokenSample` is text with token spans.
TokenSample(String, Span[]) - Constructor for class opennlp.tools.tokenize.TokenSample
  Initializes the current instance.
TokenSample(Detokenizer, String[]) - Constructor for class opennlp.tools.tokenize.TokenSample
TokenSampleStream - Class in opennlp.tools.tokenize.lang.en
  Class which produces an Iterator<TokenSample> from a file of space delimited token.
TokenSampleStream(InputStream) - Constructor for class opennlp.tools.tokenize.lang.en.TokenSampleStream
TokenSampleStream - Class in opennlp.tools.tokenize
  This class is a stream filter which reads in string encoded samples and creates `TokenSample`s out of them.
TokenSampleStream(ObjectStream<String>, String) - Constructor for class opennlp.tools.tokenize.TokenSampleStream
TokenSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenSampleStream
TokenSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `TokenSampleStream`s.
TokenTag - Class in opennlp.tools.util
TokenTag(String, String, String[]) - Constructor for class opennlp.tools.util.TokenTag
TokSpanEventStream - Class in opennlp.tools.tokenize
  This class reads the `TokenSample`s from the given `Iterator` and converts the `TokenSample`s into `Event`s which can be used by the maxent library for training.
TokSpanEventStream(ObjectStream<TokenSample>, boolean, Pattern, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
  Initializes the current instance.
TokSpanEventStream(ObjectStream<TokenSample>, boolean, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
  Initializes the current instance.
TokSpanEventStream(ObjectStream<TokenSample>, boolean) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
  Initializes the current instance.
TOLERANCE_DEFAULT - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer
toLine(Event) - Static method in class opennlp.tools.ml.model.FileEventStream
  Generates a string representing the specified event.
toLowerCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil
  Converts to lower case independent of the current locale via `Character.toLowerCase(int)` which uses mapping information from the UnicodeData file.
TOP_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The label for the top node.
topKLemmaClasses(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
topKLemmaClasses(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME
topKSequences(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
  Returns the top k chunk sequences for the specified sentence with the specified pos-tags
topKSequences(String[], String[], double) - Method in interface opennlp.tools.chunker.Chunker
  Returns the top k chunk sequences for the specified sentence with the specified pos-tags
topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ChunkerME
topKSequences(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
topKSequences(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME
topKSequences(String[]) - Method in interface opennlp.tools.postag.POSTagger
topKSequences(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger
topKSequences(String[]) - Method in class opennlp.tools.postag.POSTaggerME
topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
toSpan() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
toString() - Method in class opennlp.tools.chunker.ChunkSample
toString() - Method in class opennlp.tools.dictionary.Dictionary
toString() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
  Represents this objects as human readable `String`.
toString() - Method in class opennlp.tools.doccat.DocumentSample
toString() - Method in class opennlp.tools.entitylinker.BaseLink
toString() - Method in class opennlp.tools.entitylinker.LinkedSpan
toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
toString() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
toString() - Method in class opennlp.tools.formats.brat.BratAnnotation
toString() - Method in class opennlp.tools.formats.brat.RelationAnnotation
toString() - Method in class opennlp.tools.formats.brat.SpanAnnotation
toString() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
toString() - Method in class opennlp.tools.langdetect.Language
toString() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
  Represents this objects as human readable `String`.
toString() - Method in class opennlp.tools.langdetect.LanguageSample
toString() - Method in class opennlp.tools.lemmatizer.LemmaSample
toString() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator
  Represents this objects as human readable `String`.
toString() - Method in class opennlp.tools.ml.model.ComparableEvent
toString() - Method in class opennlp.tools.ml.model.ComparablePredicate
toString() - Method in class opennlp.tools.ml.model.Event
toString() - Method in class opennlp.tools.ml.naivebayes.LogProbability
toString() - Method in class opennlp.tools.ml.naivebayes.Probabilities
toString() - Method in class opennlp.tools.ml.naivebayes.Probability
toString() - Method in class opennlp.tools.namefind.NameSample
toString() - Method in class opennlp.tools.ngram.NGramCharModel
toString() - Method in class opennlp.tools.ngram.NGramModel
toString() - Method in class opennlp.tools.parser.Parse
  Represents this parse in a human readable way.
toString() - Method in class opennlp.tools.postag.POSDictionary
toString() - Method in class opennlp.tools.postag.POSEvaluator
  Represents this objects as human readable `String`.
toString() - Method in class opennlp.tools.postag.POSSample
toString() - Method in class opennlp.tools.sentdetect.SentenceSample
toString() - Method in class opennlp.tools.stemmer.PorterStemmer
  After a word has been stemmed, it can be retrieved by toString(), or a reference to the internal buffer can be retrieved by getResultBuffer and getResultLength (which is generally more efficient.)
toString() - Method in class opennlp.tools.tokenize.TokenSample
toString() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
toString() - Method in class opennlp.tools.util.eval.FMeasure
  Creates a human read-able `String` representation.
toString() - Method in class opennlp.tools.util.eval.Mean
toString() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
toString() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
toString() - Method in class opennlp.tools.util.Sequence
toString() - Method in class opennlp.tools.util.Span
  Generates a human readable string.
toString() - Method in class opennlp.tools.util.StringList
toString() - Method in class opennlp.tools.util.TokenTag
toString() - Method in class opennlp.tools.util.Version
  Retrieves the version string.
toUpperCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil
  Converts to upper case independent of the current locale via `Character.toUpperCase(char)` which uses mapping information from the UnicodeData file.
train(String, ObjectStream<ChunkSample>, TrainingParameters, ChunkerFactory) - Static method in class opennlp.tools.chunker.ChunkerME
train(String, ObjectStream<DocumentSample>, TrainingParameters, DoccatFactory) - Static method in class opennlp.tools.doccat.DocumentCategorizerME
train(ObjectStream<LanguageSample>, TrainingParameters, LanguageDetectorFactory) - Static method in class opennlp.tools.langdetect.LanguageDetectorME
train(String, ObjectStream<LemmaSample>, TrainingParameters, LemmatizerFactory) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
train(SequenceStream) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
train(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer
train(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer
train(SequenceStream) - Method in class opennlp.tools.ml.AbstractSequenceTrainer
train(SequenceStream) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer
train(ObjectStream<Event>) - Method in interface opennlp.tools.ml.EventTrainer
train(DataIndexer) - Method in interface opennlp.tools.ml.EventTrainer
train(SequenceStream) - Method in interface opennlp.tools.ml.SequenceTrainer
train(String, String, ObjectStream<NameSample>, TrainingParameters, TokenNameFinderFactory) - Static method in class opennlp.tools.namefind.NameFinderME
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.chunking.Parser
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.treeinsert.Parser
train(String, ObjectStream<Parse>, HeadRules, int, int) - Static method in class opennlp.tools.parser.treeinsert.Parser
train(String, ObjectStream<POSSample>, TrainingParameters, POSTaggerFactory) - Static method in class opennlp.tools.postag.POSTaggerME
train(String, ObjectStream<SentenceSample>, boolean, Dictionary, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
  Deprecated.
  Use `SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters)` and pass in af `SentenceDetectorFactory`.
train(String, ObjectStream<SentenceSample>, SentenceDetectorFactory, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
train(String, ObjectStream<SentenceSample>, boolean, Dictionary) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
  Deprecated.
  Use `SentenceDetectorME.train(String, ObjectStream, SentenceDetectorFactory, TrainingParameters)` and pass in af `SentenceDetectorFactory`.
train(ObjectStream<TokenSample>, TokenizerFactory, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME
  Trains a model for the `TokenizerME`.
TRAINER_TYPE_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
TRAINER_TYPE_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
TrainerFactory - Class in opennlp.tools.ml
TrainerFactory() - Constructor for class opennlp.tools.ml.TrainerFactory
TrainerFactory.TrainerType - Enum in opennlp.tools.ml
TRAINING_CUTOFF_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
TRAINING_EVENTHASH_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
TRAINING_ITERATIONS_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
TrainingParameters - Class in opennlp.tools.util
TrainingParameters() - Constructor for class opennlp.tools.util.TrainingParameters
TrainingParameters(TrainingParameters) - Constructor for class opennlp.tools.util.TrainingParameters
TrainingParameters(Map<String, String>) - Constructor for class opennlp.tools.util.TrainingParameters
  Deprecated.
TrainingParameters(InputStream) - Constructor for class opennlp.tools.util.TrainingParameters
TrainingToolParams - Interface in opennlp.tools.cmdline.params
  Common training parameters.
trainModel(ObjectStream<Event>) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Train a model using the GIS algorithm, assuming 100 iterations and no cutoff.
trainModel(ObjectStream<Event>, int, int) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Trains a GIS model on the event in the specified event stream, using the specified number of iterations and the specified count cutoff.
trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Train a model using the GIS algorithm.
trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Train a model using the GIS algorithm.
trainModel(int, DataIndexer, Prior, int) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Train a model using the GIS algorithm.
trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
trainModel(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
trainModel(int, DataIndexer, int, boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
trainModel(int, SequenceStream, int, boolean) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
TreeElement() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
TrigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen
  Adds trigram features based on tokens and token classes.
TrigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TrigramNameFeatureGenerator
TrigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
TrigramNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory
trim(CharSequence) - Method in class opennlp.tools.util.Span
  Return a copy of this span with leading and trailing white spaces removed.
TwentyNewsgroupSampleStream - Class in opennlp.tools.formats
TwentyNewsgroupSampleStreamFactory - Class in opennlp.tools.formats
TwitterCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  Normalizer for Twitter character sequences
TwitterCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
TwoPassDataIndexer - Class in opennlp.tools.ml.model
  Collecting event and context counts by making two passes over the events.
TwoPassDataIndexer() - Constructor for class opennlp.tools.ml.model.TwoPassDataIndexer

## U

UncloseableInputStream - Class in opennlp.tools.util.model
  An `InputStream` which cannot be closed.
UncloseableInputStream(InputStream) - Constructor for class opennlp.tools.util.model.UncloseableInputStream
UniformPrior - Class in opennlp.tools.ml.model
  Provide a maximum entropy model with a uniform prior.
UniformPrior() - Constructor for class opennlp.tools.ml.model.UniformPrior
UNIT - Static variable in class opennlp.tools.namefind.BilouCodec
unregisterAllowedPackage(String) - Static method in class opennlp.tools.util.ext.ExtensionLoader
  Removes a previously registered package prefix.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.namefind.NameContextGenerator
  Informs all the feature generators for a name finder that the specified tokens have been classified with the coorisponds set of specified outcomes.
updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
  Informs the feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Calls the `AdaptiveFeatureGenerator.updateAdaptiveData(String[], String[])` method on all aggregated `AdaptiveFeatureGenerator`s.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
  Generates previous decision features for the token based on contents of the previous map.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
updateBuildModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel
updateCheckModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel
updateChunkerModel(ChunkerModel) - Method in class opennlp.tools.parser.ParserModel
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
updateContext(Sequence, AbstractModel) - Method in interface opennlp.tools.ml.model.SequenceStream
  Creates a new event array based on the outcomes predicted by the specified parameters for the specified sequence.
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.namefind.NameSampleSequenceStream
updateContext(Sequence, AbstractModel) - Method in class opennlp.tools.postag.POSSampleSequenceStream
updateHeads(HeadRules) - Method in class opennlp.tools.parser.Parse
  Computes the head parses for this parse and its sub-parses and stores this information in the parse data structure.
updateParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext
  Updated the parameter or expected value at the specified outcomeIndex by adding the specified value to its current value.
updateScores(Object[], Object[]) - Method in class opennlp.tools.util.eval.FMeasure
  Updates the score based on the number of true positives and the number of predictions and references.
updateSpan() - Method in class opennlp.tools.parser.Parse
updateTaggerModel(POSModel) - Method in class opennlp.tools.parser.ParserModel
UrlCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  Normalizer that removes URls and email addresses.
UrlCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerME
  Returns the value of the alpha-numeric optimization flag.
useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerModel
useFunctionTags(boolean) - Static method in class opennlp.tools.parser.Parse
  Specifies whether function tags should be included as part of the constituent type.
useTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceModel

## V

validate() - Method in class opennlp.tools.ml.AbstractEventTrainer
validate() - Method in class opennlp.tools.ml.AbstractTrainer
  Check parameters.
validate() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
validate() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
validate() - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
validateArtifactMap() - Method in class opennlp.tools.chunker.ChunkerFactory
validateArtifactMap() - Method in class opennlp.tools.doccat.DoccatFactory
validateArtifactMap() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory
validateArtifactMap() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
validateArtifactMap() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
validateArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
validateArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
validateArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
validateArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory
  Validates the parsed artifacts.
validateOutcomes(MaxentModel, String...) - Static method in class opennlp.tools.util.model.ModelUtil
  Checks if the expected outcomes are all contained as outcomes in the given model.
validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.chunker.DefaultChunkerSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.BilouNameFinderSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.NameFinderSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator
validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.postag.DefaultPOSSequenceValidator
validSequence(int, T[], String[], String) - Method in interface opennlp.tools.util.SequenceValidator
  Determines whether a particular continuation of a sequence is valid.
valueAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
  Negative log-likelihood
valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood
  Negative log-likelihood
valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
valueOf(String) - Static method in enum opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.formats.conllu.ConlluTagset
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.ml.model.AbstractModel.ModelType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.ml.TrainerFactory.TrainerType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.parser.ParserEventTypeEnum
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.parser.ParserType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.util.model.ModelType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum opennlp.tools.util.wordvector.WordVectorType
  Returns the enum constant of this type with the specified name.
values() - Static method in enum opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.formats.conllu.ConlluTagset
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.ml.model.AbstractModel.ModelType
  Returns an array containing the constants of this enum type, in the order they are declared.
values - Variable in class opennlp.tools.ml.model.ComparableEvent
values() - Static method in enum opennlp.tools.ml.TrainerFactory.TrainerType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.parser.ParserEventTypeEnum
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.parser.ParserType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.tokenize.DetokenizationDictionary.Operation
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.util.model.ModelType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum opennlp.tools.util.wordvector.WordVectorType
  Returns an array containing the constants of this enum type, in the order they are declared.
VERBOSE_DEFAULT - Static variable in class opennlp.tools.ml.AbstractTrainer
VERBOSE_PARAM - Static variable in class opennlp.tools.ml.AbstractTrainer
Version - Class in opennlp.tools.util
  The `Version` class represents the OpenNlp Tools library version.
Version(int, int, int, boolean) - Constructor for class opennlp.tools.util.Version
  Initializes the current instance with the provided versions.
Version(int, int, int) - Constructor for class opennlp.tools.util.Version
  Initializes the current instance with the provided versions.

## W

WhitespaceTokenizer - Class in opennlp.tools.tokenize
  This tokenizer uses white spaces to tokenize the input text.
WhitespaceTokenStream - Class in opennlp.tools.tokenize
  This stream formats a `TokenSample`s into whitespace separated token strings.
WhitespaceTokenStream(ObjectStream<TokenSample>) - Constructor for class opennlp.tools.tokenize.WhitespaceTokenStream
WindowFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates previous and next features for a given `AdaptiveFeatureGenerator`.
WindowFeatureGenerator(AdaptiveFeatureGenerator, int, int) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
  Initializes the current instance with the given parameters.
WindowFeatureGenerator(int, int, AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
  Initializes the current instance with the given parameters.
WindowFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
  Initializes the current instance.
WindowFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
  Initializes the current instance with the given parameters.
WindowFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
WindowFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory
WordClusterDictionary - Class in opennlp.tools.util.featuregen
WordClusterDictionary(InputStream) - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary
  Read word2vec and clark clustering style lexicons.
WordClusterDictionary.WordClusterDictionarySerializer - Class in opennlp.tools.util.featuregen
WordClusterDictionarySerializer() - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
WordClusterFeatureGenerator - Class in opennlp.tools.util.featuregen
WordClusterFeatureGenerator(WordClusterDictionary, String, boolean) - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGenerator
WordClusterFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  Defines a word cluster generator factory; it reads an element containing 'w2vwordcluster' as a tag name; these clusters are typically produced by word2vec or clark pos induction systems.
WordClusterFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
WordTagSampleStream - Class in opennlp.tools.postag
  A stream filter which reads a sentence per line which contains words and tags in word_tag format and outputs a `POSSample` objects.
WordTagSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.postag.WordTagSampleStream
  Initializes the current instance.
WordTagSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
WordTagSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
WordVector - Interface in opennlp.tools.util.wordvector
  A word vector.
WordVectorTable - Interface in opennlp.tools.util.wordvector
  A table that maps tokens to word vectors.
WordVectorType - Enum in opennlp.tools.util.wordvector
writeDouble(double) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.model.AbstractModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.model.GenericModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
writeInt(int) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
writeInt(int) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
writeInt(int) - Method in class opennlp.tools.ml.model.AbstractModelWriter
writeInt(int) - Method in class opennlp.tools.ml.model.GenericModelWriter
writeInt(int) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeInt(int) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeInt(int) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
writeModel(MaxentModel, OutputStream) - Static method in class opennlp.tools.util.model.ModelUtil
  Writes the given model to the given `OutputStream`.
writeReport() - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
writeReport() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
writeReport() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
writeReport() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
writeReport() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
writeUTF(String) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.model.AbstractModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.model.GenericModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

## X

XmlUtil - Class in opennlp.tools.util
XmlUtil() - Constructor for class opennlp.tools.util.XmlUtil

## Z

ZERO - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The integer 0.

A B C D E F G H I J L M N O P Q R S T U V W X Z

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