Uses of Class
opennlp.tools.util.Sequence
Packages that use Sequence
Package
Description
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
Package related to the lemmatizer functionality.
Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.
Package related to ML models and feature selection techniques.
Package related to part-of-speech tagging.
Package containing utility data structures and algorithms used by multiple other packages.
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Uses of Sequence in opennlp.tools.chunker
Methods in opennlp.tools.chunker that return SequenceModifier and TypeMethodDescriptionSequence[]
Chunker.topKSequences
(String[] sentence, String[] tags) Computes the top k chunksequences
for the specified sentence with the specified pos-tags.Sequence[]
Chunker.topKSequences
(String[] sentence, String[] tags, double minSequenceScore) Computes the top k chunksequences
for the specified sentence with the specified pos-tags.Sequence[]
ChunkerME.topKSequences
(String[] sentence, String[] tags) Sequence[]
ChunkerME.topKSequences
(String[] sentence, String[] tags, double minSequenceScore) -
Uses of Sequence in opennlp.tools.lemmatizer
Methods in opennlp.tools.lemmatizer that return SequenceModifier and TypeMethodDescriptionSequence[]
LemmatizerME.topKLemmaClasses
(String[] sentence, String[] tags) Sequence[]
LemmatizerME.topKLemmaClasses
(String[] sentence, String[] tags, double minSequenceScore) Sequence[]
LemmatizerME.topKSequences
(String[] sentence, String[] tags) Sequence[]
LemmatizerME.topKSequences
(String[] sentence, String[] tags, double minSequenceScore) -
Uses of Sequence in opennlp.tools.ml
Methods in opennlp.tools.ml that return SequenceModifier and TypeMethodDescriptionBeamSearch.bestSequence
(T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Computes the best sequence of outcomes based on theMaxentModel
.Sequence[]
BeamSearch.bestSequences
(int numSequences, T[] sequence, Object[] additionalContext, double minSequenceScore, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Computes the best sequence of outcomes based on theMaxentModel
.Sequence[]
BeamSearch.bestSequences
(int numSequences, T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Computes the best sequence of outcomes based on theMaxentModel
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Uses of Sequence in opennlp.tools.ml.model
Methods in opennlp.tools.ml.model that return SequenceModifier and TypeMethodDescriptionSequenceClassificationModel.bestSequence
(T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Finds theSequence
with the highest probability.Sequence[]
SequenceClassificationModel.bestSequences
(int numSequences, T[] sequence, Object[] additionalContext, double minSequenceScore, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Finds the n most probablesequences
with the highest probability.Sequence[]
SequenceClassificationModel.bestSequences
(int numSequences, T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Finds the n most probablesequences
with the highest probability. -
Uses of Sequence in opennlp.tools.postag
Methods in opennlp.tools.postag that return SequenceModifier and TypeMethodDescriptionSequence[]
POSTagger.topKSequences
(String[] sentence) Assigns the sentence the top-ksequences
.Sequence[]
POSTagger.topKSequences
(String[] sentence, Object[] additionalContext) Assigns the sentence the top-ksequences
.Sequence[]
POSTaggerME.topKSequences
(String[] sentence) Sequence[]
POSTaggerME.topKSequences
(String[] sentence, Object[] additionalContext) -
Uses of Sequence in opennlp.tools.util
Methods in opennlp.tools.util with parameters of type SequenceConstructors in opennlp.tools.util with parameters of type Sequence