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| Interface Summary | |
|---|---|
| SentenceChunker | |
| Class Summary | |
|---|---|
| ChunkedDocument | Represents an ordered collection of ChunkedSentence objects with an
identifier string. |
| ChunkedDocumentReader | A class for converting raw text into ChunkedDocument objects. |
| ChunkedSentence | An immutable class that represents a tokenized, POS-tagged, and noun-phrase chunked sentence. |
| ChunkedSentenceIterator | A class that combines an IteratorChunkedSentence
objects. |
| ChunkedSentencePattern | |
| ChunkedSentenceReader | A class that combines a SentenceExtractor with a
SentenceChunker to read NpChunkedSentence objects
from a BufferedReader. |
| ChunkedSentenceToken | A representation of a token in a ChunkedSentence. |
| ChunkedSentenceToken.ChunkTagExpression | A regular expression that is evaluated against the chunk tag portion of a token. |
| ChunkedSentenceToken.Expression | An expression that is evaluated against a token. |
| ChunkedSentenceToken.PosTagExpression | A regular expression that is evaluated against the POS tag portion of a token. |
| ChunkedSentenceToken.StringExpression | A regular expression that is evaluated against the string portion of a token. |
| OpenNlpChunkedSentenceParser | A utility class for "parsing" the output of the OpenNLP command line chunker. |
| OpenNlpSentenceChunker | A class that combines OpenNLP tokenizer, POS tagger, and chunker objects into
a single object that converts String sentences to ChunkedSentence
objects. |
| OpenNlpSentenceChunkerAverageStats | |
| OpenNlpSentenceChunkerStats | |
| OpenNlpUtils | A class of static methods for handling OpenNLP formats. |
| OrdinalUtils | |
| PreChunkedSentenceReader | A class for reading in sentences that have already been chunked by the OpenNLP sentence chunker. |
| SentenceBlocksIterator | |
| Exception Summary | |
|---|---|
| ChunkerException | An exception class used for handling errors related to layered sequences. |
| NlpException | An exception class used for handling errors related to layered sequences. |
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