Uses of Class
opennlp.tools.lemmatizer.LemmaSample
Packages that use LemmaSample
Package
Description
Classes giving access to the opennlp.tools.lemmatizer functionalities.
Experimental package related to converting various corpora to OpenNLP Format.
Experimental package related to the CoNNL-U format.
Package related to the lemmatizer functionality.
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Uses of LemmaSample in opennlp.tools.cmdline.lemmatizer
Subclasses with type arguments of type LemmaSample in opennlp.tools.cmdline.lemmatizerModifier and TypeClassDescriptionclassA default implementation ofEvaluationMonitorthat prints to an output stream.final classA defaultLemmaSample-centric implementation ofAbstractEvaluatorToolthat prints to an output stream.classMethods in opennlp.tools.cmdline.lemmatizer with parameters of type LemmaSampleModifier and TypeMethodDescriptionvoidLemmatizerFineGrainedReportListener.correctlyClassified(LemmaSample reference, LemmaSample prediction) voidLemmaEvaluationErrorListener.misclassified(LemmaSample reference, LemmaSample prediction) voidLemmatizerFineGrainedReportListener.misclassified(LemmaSample reference, LemmaSample prediction) -
Uses of LemmaSample in opennlp.tools.formats
Subclasses with type arguments of type LemmaSample in opennlp.tools.formatsMethods in opennlp.tools.formats that return types with arguments of type LemmaSampleModifier and TypeMethodDescription -
Uses of LemmaSample in opennlp.tools.formats.conllu
Subclasses with type arguments of type LemmaSample in opennlp.tools.formats.conlluModifier and TypeClassDescriptionclassclassNote: Do not use this class, internal use only!Methods in opennlp.tools.formats.conllu that return LemmaSampleMethods in opennlp.tools.formats.conllu that return types with arguments of type LemmaSampleModifier and TypeMethodDescription -
Uses of LemmaSample in opennlp.tools.lemmatizer
Subclasses with type arguments of type LemmaSample in opennlp.tools.lemmatizerModifier and TypeClassDescriptionclassClass for creating an event stream out of data files for training a probabilisticLemmatizer.classReads data for training and testing theLemmatizer.classTheLemmatizerEvaluatormeasures the performance of the givenLemmatizerwith the provided referencesamples.Subinterfaces with type arguments of type LemmaSample in opennlp.tools.lemmatizerClasses in opennlp.tools.lemmatizer that implement interfaces with type arguments of type LemmaSampleMethods in opennlp.tools.lemmatizer that return LemmaSampleModifier and TypeMethodDescriptionprotected LemmaSampleLemmatizerEvaluator.processSample(LemmaSample reference) Evaluates the given referenceLemmaSampleobject.LemmaSampleStream.read()Methods in opennlp.tools.lemmatizer that return types with arguments of type LemmaSampleMethods in opennlp.tools.lemmatizer with parameters of type LemmaSampleModifier and TypeMethodDescriptionLemmaSampleEventStream.createEvents(LemmaSample sample) protected LemmaSampleLemmatizerEvaluator.processSample(LemmaSample reference) Evaluates the given referenceLemmaSampleobject.Method parameters in opennlp.tools.lemmatizer with type arguments of type LemmaSampleModifier and TypeMethodDescriptionstatic LemmatizerModelLemmatizerME.train(String languageCode, ObjectStream<LemmaSample> samples, TrainingParameters params, LemmatizerFactory factory) Starts a training of aLemmatizerModelwith the given parameters.Event[]LemmaSampleSequenceStream.updateContext(Sequence<LemmaSample> sequence, AbstractModel model) Constructor parameters in opennlp.tools.lemmatizer with type arguments of type LemmaSampleModifierConstructorDescriptionCreates a new event stream based on the specified data stream using aLemmatizerContextGenerator.LemmaSampleSequenceStream(ObjectStream<LemmaSample> samples, LemmatizerContextGenerator contextGenerator)