Uses of Class
opennlp.tools.util.Sequence

Packages that use Sequence

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.ml.model
opennlp.tools.postag	Package related to part-of-speech tagging.
opennlp.tools.util	Package containing utility data structures and algorithms used by multiple other packages.

Uses of Sequence in opennlp.tools.chunker

Methods in opennlp.tools.chunker that return Sequence

Modifier and Type	Method and Description
Sequence[]	ChunkerME.topKSequences(String[] sentence, String[] tags)
Sequence[]	Chunker.topKSequences(String[] sentence, String[] tags) Returns the top k chunk sequences for the specified sentence with the specified pos-tags
Sequence[]	ChunkerME.topKSequences(String[] sentence, String[] tags, double minSequenceScore)
Sequence[]	Chunker.topKSequences(String[] sentence, String[] tags, double minSequenceScore) Returns the top k chunk sequences for the specified sentence with the specified pos-tags

Uses of Sequence in opennlp.tools.lemmatizer

Methods in opennlp.tools.lemmatizer that return Sequence

Modifier and Type	Method and Description
Sequence[]	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 Sequence

Modifier and Type	Method and Description
Sequence	BeamSearch.bestSequence(T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)
Sequence[]	BeamSearch.bestSequences(int numSequences, T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)
Sequence[]	BeamSearch.bestSequences(int numSequences, T[] sequence, Object[] additionalContext, double minSequenceScore, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Returns the best sequence of outcomes based on model for this object.

Uses of Sequence in opennlp.tools.ml.model

Methods in opennlp.tools.ml.model that return Sequence

Modifier and Type	Method and Description
Sequence	SequenceClassificationModel.bestSequence(T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Finds the sequence with the highest probability.
Sequence[]	SequenceClassificationModel.bestSequences(int numSequences, T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Finds the n most probable sequences.
Sequence[]	SequenceClassificationModel.bestSequences(int numSequences, T[] sequence, Object[] additionalContext, double minSequenceScore, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator) Finds the n most probable sequences.

Uses of Sequence in opennlp.tools.postag

Methods in opennlp.tools.postag that return Sequence

Modifier and Type	Method and Description
Sequence[]	POSTaggerME.topKSequences(String[] sentence)
Sequence[]	POSTagger.topKSequences(String[] sentence)
Sequence[]	POSTaggerME.topKSequences(String[] sentence, Object[] additionaContext)
Sequence[]	POSTagger.topKSequences(String[] sentence, Object[] additionaContext)

Uses of Sequence in opennlp.tools.util

Methods in opennlp.tools.util with parameters of type Sequence

Modifier and Type	Method and Description
int	Sequence.compareTo(Sequence s)

Constructors in opennlp.tools.util with parameters of type Sequence

Constructor and Description
Sequence(Sequence s)
Sequence(Sequence s, String outcome, double p)