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.namefind |
Package related to finding proper names and numeric amounts.
|
opennlp.tools.parser |
Package containing common code for performing full syntactic parsing.
|
opennlp.tools.postag |
Package related to part-of-speech tagging.
|
Modifier and Type | Interface and Description |
---|---|
interface |
ChunkerContextGenerator
Interface for the context generator used in syntactic chunking.
|
Modifier and Type | Class and Description |
---|---|
class |
DefaultChunkerContextGenerator
Features based on chunking model described in Fei Sha and Fernando Pereira.
|
Modifier and Type | Interface and Description |
---|---|
interface |
LemmatizerContextGenerator
Interface for the context generator used for probabilistic lemmatizer.
|
Modifier and Type | Class and Description |
---|---|
class |
DefaultLemmatizerContextGenerator
Simple feature generator for learning statistical lemmatizers.
|
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.
|
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.
|
Modifier and Type | Interface and Description |
---|---|
interface |
NameContextGenerator
Interface for generating the context for an name finder by specifying a set of geature generators.
|
Modifier and Type | Class and Description |
---|---|
class |
DefaultNameContextGenerator
Class for determining contextual features for a tag/chunk style
named-entity recognizer.
|
Modifier and Type | Class and Description |
---|---|
class |
ChunkContextGenerator
Creates predivtive context for the pre-chunking phases of parsing.
|
Modifier and Type | Interface and Description |
---|---|
interface |
POSContextGenerator
The interface for a context generator for the POS Tagger.
|
Modifier and Type | Class and Description |
---|---|
class |
ConfigurablePOSContextGenerator
A context generator for the POS Tagger.
|
class |
DefaultPOSContextGenerator
A context generator for the POS Tagger.
|
Copyright © 2017 The Apache Software Foundation. All rights reserved.