Uses of Interface opennlp.tools.ml.model.SequenceClassificationModel (Apache OpenNLP Tools 1.9.5 API)
Date: 2026-06-18

## Uses of Interface
opennlp.tools.ml.model.SequenceClassificationModel

- Packages that use SequenceClassificationModel
  Package | Description
  --- | ---
  opennlp.tools.chunker | Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
  opennlp.tools.lemmatizer | Package related with the lemmatizer tool
  opennlp.tools.ml |
  opennlp.tools.namefind | Package related to finding proper names and numeric amounts.
  opennlp.tools.postag | Package related to part-of-speech tagging.

- - ### Uses of SequenceClassificationModel in opennlp.tools.chunker

    Fields in opennlp.tools.chunker declared as SequenceClassificationModel
    Modifier and Type | Field and Description
    --- | ---
    `protected SequenceClassificationModel<TokenTag>` | ChunkerME.`model` The model used to assign chunk tags to a sequence of tokens.

    Methods in opennlp.tools.chunker that return SequenceClassificationModel
    Modifier and Type | Method and Description
    --- | ---
    `SequenceClassificationModel<TokenTag>` | ChunkerModel.`getChunkerSequenceModel()`

    Constructors in opennlp.tools.chunker with parameters of type SequenceClassificationModel
    Constructor and Description
    `ChunkerModel(String languageCode, SequenceClassificationModel<String> chunkerModel, Map<String,String> manifestInfoEntries, ChunkerFactory factory)`

  - ### Uses of SequenceClassificationModel in opennlp.tools.lemmatizer

    Methods in opennlp.tools.lemmatizer that return SequenceClassificationModel
    Modifier and Type | Method and Description
    --- | ---
    `SequenceClassificationModel<String>` | LemmatizerModel.`getLemmatizerSequenceModel()`

    Constructors in opennlp.tools.lemmatizer with parameters of type SequenceClassificationModel
    Constructor and Description
    `LemmatizerModel(String languageCode, SequenceClassificationModel<String> lemmatizerModel, Map<String,String> manifestInfoEntries, LemmatizerFactory factory)`

  - ### Uses of SequenceClassificationModel in opennlp.tools.ml

    Classes in opennlp.tools.ml that implement SequenceClassificationModel
    Modifier and Type | Class and Description
    --- | ---
    `class` | `BeamSearch<T>` Performs k-best search over sequence.

    Methods in opennlp.tools.ml that return SequenceClassificationModel
    Modifier and Type | Method and Description
    --- | ---
    `abstract SequenceClassificationModel<String>` | AbstractSequenceTrainer.`doTrain(SequenceStream events)`
    `SequenceClassificationModel<String>` | AbstractSequenceTrainer.`train(SequenceStream events)`
    `SequenceClassificationModel<String>` | SequenceTrainer.`train(SequenceStream events)`

  - ### Uses of SequenceClassificationModel in opennlp.tools.namefind

    Fields in opennlp.tools.namefind declared as SequenceClassificationModel
    Modifier and Type | Field and Description
    --- | ---
    `protected SequenceClassificationModel<String>` | NameFinderME.`model`

    Methods in opennlp.tools.namefind that return SequenceClassificationModel
    Modifier and Type | Method and Description
    --- | ---
    `SequenceClassificationModel<String>` | TokenNameFinderModel.`getNameFinderSequenceModel()`

    Constructors in opennlp.tools.namefind with parameters of type SequenceClassificationModel
    Constructor and Description
    `TokenNameFinderModel(String languageCode, SequenceClassificationModel<String> nameFinderModel, byte[] generatorDescriptor, Map<String,Object> resources, Map<String,String> manifestInfoEntries, SequenceCodec<String> seqCodec, TokenNameFinderFactory factory)`

  - ### Uses of SequenceClassificationModel in opennlp.tools.postag

    Methods in opennlp.tools.postag that return SequenceClassificationModel
    Modifier and Type | Method and Description
    --- | ---
    `SequenceClassificationModel<String>` | POSModel.`getPosSequenceModel()`

    Constructors in opennlp.tools.postag with parameters of type SequenceClassificationModel
    Constructor and Description
    `POSModel(String languageCode, SequenceClassificationModel<String> posModel, Map<String,String> manifestInfoEntries, POSTaggerFactory posFactory)`

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