Uses of Class
opennlp.tools.util.Sequence
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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 toolopennlp.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. -
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Uses of Sequence in opennlp.tools.chunker
Methods in opennlp.tools.chunker that return Sequence Modifier and Type Method Description Sequence[]
Chunker. topKSequences(String[] sentence, String[] tags)
Returns the top k chunk sequences for the specified sentence with the specified pos-tagsSequence[]
Chunker. topKSequences(String[] sentence, String[] tags, double minSequenceScore)
Returns the top k chunk sequences for the specified sentence with the specified pos-tagsSequence[]
ChunkerME. topKSequences(String[] sentence, String[] tags)
Sequence[]
ChunkerME. topKSequences(String[] sentence, String[] tags, double minSequenceScore)
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Uses of Sequence in opennlp.tools.lemmatizer
Methods in opennlp.tools.lemmatizer that return Sequence Modifier and Type Method 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)
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Uses of Sequence in opennlp.tools.ml
Methods in opennlp.tools.ml that return Sequence Modifier and Type Method Description Sequence
BeamSearch. bestSequence(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.Sequence[]
BeamSearch. bestSequences(int numSequences, T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)
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Uses of Sequence in opennlp.tools.ml.model
Methods in opennlp.tools.ml.model that return Sequence Modifier and Type Method 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, double minSequenceScore, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)
Finds the n most probable sequences.Sequence[]
SequenceClassificationModel. bestSequences(int numSequences, T[] sequence, Object[] additionalContext, 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 Description Sequence[]
POSTagger. topKSequences(String[] sentence)
Sequence[]
POSTagger. topKSequences(String[] sentence, Object[] additionaContext)
Sequence[]
POSTaggerME. topKSequences(String[] sentence)
Sequence[]
POSTaggerME. topKSequences(String[] sentence, Object[] additionaContext)
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Uses of Sequence in opennlp.tools.util
Methods in opennlp.tools.util with parameters of type Sequence Modifier and Type Method Description int
Sequence. compareTo(Sequence s)
Constructors in opennlp.tools.util with parameters of type Sequence Constructor Description Sequence(Sequence s)
Sequence(Sequence s, String outcome, double p)
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