+ hb@^RIHt^RIHt^RIHt!RR]4tR#)) ChunkScore) deprecated)ParserIcLa]tRt^toRtRt]!R4R4tRtRt Vt R#) ChunkParserIa# A processing interface for identifying non-overlapping groups in unrestricted text. Typically, chunk parsers are used to find base syntactic constituents, such as base noun phrases. Unlike ``ParserI``, ``ChunkParserI`` guarantees that the ``parse()`` method will always generate a parse. c \4h)z Return the best chunk structure for the given tokens and return a tree. :param tokens: The list of (word, tag) tokens to be chunked. :type tokens: list(tuple) :rtype: Tree )NotImplementedError)selftokenss&&0/usr/lib/python3/dist-packages/nltk/chunk/api.pyparseChunkParserI.parses "##zUse accuracy(gold) instead.c$VPV4#)N)accuracy)r golds&&r evaluateChunkParserI.evaluate&s}}T""rc \4pVF1pVPW0PVP444K3 V#)aK Score the accuracy of the chunker against the gold standard. Remove the chunking the gold standard text, rechunk it using the chunker, and return a ``ChunkScore`` object reflecting the performance of this chunk parser. :type gold: list(Tree) :param gold: The list of chunked sentences to score the chunker on. :rtype: ChunkScore )rscorer leaves)r r chunkscorecorrects&& r rChunkParserI.accuracy*s9 \ G   Wjj1A&B CrN) __name__ __module__ __qualname____firstlineno____doc__r rrr__static_attributes____classdictcell__) __classdict__s@r rrs3 $-.#/#rrN)nltk.chunk.utilrnltk.internalsr nltk.parserrrrr r's'%&7&r