Package | Description |
---|---|
opennlp.tools.chunker |
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
|
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.
|
Modifier and Type | Method and Description |
---|---|
Sequence[] |
ChunkerME.topKSequences(List<String> sentence,
List<String> tags)
Deprecated.
|
Sequence[] |
Chunker.topKSequences(List<String> sentence,
List<String> tags)
Deprecated.
please use
Chunker.topKSequences(String[], String[]) instead. |
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
|
Modifier and Type | Method and Description |
---|---|
Sequence[] |
POSTaggerME.topKSequences(List<String> sentence)
Deprecated.
|
Sequence[] |
POSTagger.topKSequences(List<String> sentence)
Deprecated.
call
topKSequences(String[]) instead |
Sequence[] |
POSTaggerME.topKSequences(String[] sentence) |
Sequence[] |
POSTagger.topKSequences(String[] sentence) |
Sequence[] |
POSTaggerME.topKSequences(String[] sentence,
Object[] additionaContext) |
Sequence[] |
POSTagger.topKSequences(String[] sentence,
Object[] additionaContext) |
Modifier and Type | Method and Description |
---|---|
Sequence |
BeamSearch.bestSequence(T[] sequence,
Object[] additionalContext)
Returns the best sequence of outcomes based on model for this object.
|
Sequence[] |
BeamSearch.bestSequences(int numSequences,
T[] sequence,
Object[] additionalContext) |
Sequence[] |
BeamSearch.bestSequences(int numSequences,
T[] sequence,
Object[] additionalContext,
double minSequenceScore)
Returns the best sequence of outcomes based on model for this object.
|
Modifier and Type | Method and Description |
---|---|
int |
Sequence.compareTo(Sequence s) |
Constructor and Description |
---|
Sequence(Sequence s) |
Sequence(Sequence s,
String outcome,
double p) |
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