Uses of Class opennlp.tools.lemmatizer.LemmaSample (Apache OpenNLP Tools 2.5.9 API)
Description: use: package: opennlp.tools.lemmatizer, class: LemmaSample

# Uses of Class
opennlp.tools.lemmatizer.LemmaSample

Packages that use LemmaSample
Package
Description
opennlp.tools.cmdline.lemmatizer
Classes giving access to the opennlp.tools.lemmatizer functionalities.
opennlp.tools.formats
Experimental package related to converting various corpora to OpenNLP Format.
opennlp.tools.formats.conllu
Experimental package related to the CoNNL-U format.
opennlp.tools.lemmatizer
Package related to the lemmatizer functionality.

- ## Uses of LemmaSample in opennlp.tools.cmdline.lemmatizer

  Subclasses with type arguments of type LemmaSample in opennlp.tools.cmdline.lemmatizer
  Modifier and Type
  Class
  Description
  `class`
  `LemmaEvaluationErrorListener`
  A default implementation of `EvaluationMonitor` that prints to an output stream.
  `final class`
  `LemmatizerEvaluatorTool`
  A default `LemmaSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
  `class`
  `LemmatizerTrainerTool`
  Methods in opennlp.tools.cmdline.lemmatizer with parameters of type LemmaSample
  Modifier and Type
  Method
  Description
  `void`
  LemmatizerFineGrainedReportListener.`correctlyClassified(LemmaSample reference, LemmaSample prediction)`
  `void`
  LemmaEvaluationErrorListener.`misclassified(LemmaSample reference, LemmaSample prediction)`
  `void`
  LemmatizerFineGrainedReportListener.`misclassified(LemmaSample reference, LemmaSample prediction)`

- ## Uses of LemmaSample in opennlp.tools.formats

  Subclasses with type arguments of type LemmaSample in opennlp.tools.formats
  Modifier and Type
  Class
  Description
  `class`
  `LemmatizerSampleStreamFactory`
  Factory producing OpenNLP `LemmaSampleStream`s.
  Methods in opennlp.tools.formats that return types with arguments of type LemmaSample
  Modifier and Type
  Method
  Description
  `ObjectStream<LemmaSample>`
  LemmatizerSampleStreamFactory.`create(String[] args)`

- ## Uses of LemmaSample in opennlp.tools.formats.conllu

  Subclasses with type arguments of type LemmaSample in opennlp.tools.formats.conllu
  Modifier and Type
  Class
  Description
  `class`
  `ConlluLemmaSampleStream`
  `class`
  `ConlluLemmaSampleStreamFactory`
  Note: Do not use this class, internal use only!
  Methods in opennlp.tools.formats.conllu that return LemmaSample
  Modifier and Type
  Method
  Description
  `LemmaSample`
  ConlluLemmaSampleStream.`read()`
  Methods in opennlp.tools.formats.conllu that return types with arguments of type LemmaSample
  Modifier and Type
  Method
  Description
  `ObjectStream<LemmaSample>`
  ConlluLemmaSampleStreamFactory.`create(String[] args)`

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

  Subclasses with type arguments of type LemmaSample in opennlp.tools.lemmatizer
  Modifier and Type
  Class
  Description
  `class`
  `LemmaSampleEventStream`
  Class for creating an event stream out of data files for training a probabilistic `Lemmatizer`.
  `class`
  `LemmaSampleStream`
  Reads data for training and testing the `Lemmatizer`.
  `class`
  `LemmatizerEvaluator`
  The `LemmatizerEvaluator` measures the performance of the given `Lemmatizer` with the provided reference `samples`.
  Subinterfaces with type arguments of type LemmaSample in opennlp.tools.lemmatizer
  Modifier and Type
  Interface
  Description
  `interface`
  `LemmatizerEvaluationMonitor`
  A marker interface for evaluating `lemmatizers`.
  Classes in opennlp.tools.lemmatizer that implement interfaces with type arguments of type LemmaSample
  Modifier and Type
  Class
  Description
  `class`
  `LemmaSampleSequenceStream`
  A `SequenceStream` implementation encapsulating `samples`.
  Methods in opennlp.tools.lemmatizer that return LemmaSample
  Modifier and Type
  Method
  Description
  `protected LemmaSample`
  LemmatizerEvaluator.`processSample(LemmaSample reference)`
  Evaluates the given reference `LemmaSample` object.
  `LemmaSample`
  LemmaSampleStream.`read()`
  Methods in opennlp.tools.lemmatizer that return types with arguments of type LemmaSample
  Modifier and Type
  Method
  Description
  `Sequence<LemmaSample>`
  LemmaSampleSequenceStream.`read()`
  Methods in opennlp.tools.lemmatizer with parameters of type LemmaSample
  Modifier and Type
  Method
  Description
  `protected Iterator<Event>`
  LemmaSampleEventStream.`createEvents(LemmaSample sample)`
  `protected LemmaSample`
  LemmatizerEvaluator.`processSample(LemmaSample reference)`
  Evaluates the given reference `LemmaSample` object.
  Method parameters in opennlp.tools.lemmatizer with type arguments of type LemmaSample
  Modifier and Type
  Method
  Description
  `static LemmatizerModel`
  LemmatizerME.`train(String languageCode, ObjectStream<LemmaSample> samples, TrainingParameters params, LemmatizerFactory factory)`
  Starts a training of a `LemmatizerModel` with the given parameters.
  `Event[]`
  LemmaSampleSequenceStream.`updateContext(Sequence<LemmaSample> sequence, AbstractModel model)`
  Constructor parameters in opennlp.tools.lemmatizer with type arguments of type LemmaSample
  Modifier
  Constructor
  Description
  ``
  `LemmaSampleEventStream(ObjectStream<LemmaSample> d, LemmatizerContextGenerator cg)`
  Creates a new event stream based on the specified data stream using a `LemmatizerContextGenerator`.
  ``
  `LemmaSampleSequenceStream(ObjectStream<LemmaSample> samples, LemmatizerContextGenerator contextGenerator)`