łň ŽB_Kc@s6ddklZddkZdefd„ƒYZdS(i˙˙˙˙(tParserINt ChunkParserIcBs eZdZd„Zd„ZRS(s6 A processing interface for identifying non-overlapping groups in unrestricted text. Typically, chunk parsers are used to find base syntactic constituants, such as base noun phrases. Unlike L{ParserI}, C{ChunkParserI} guarantees that the C{parse} method will always generate a parse. cCsdp td‚dS(só @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: C{list} of L{tuple} @rtype: L{Tree} is%ChunkParserI is an abstract interfaceN(tAssertionError(tselfttokens((s$/p/zhu/06/nlp/nltk/nltk/chunk/api.pytparses cCsFtiiiƒ}x-|D]%}|i||i|iƒƒƒqW|S(sĎ Score the accuracy of the chunker against the gold standard. Remove the chunking the gold standard text, rechunk it using the chunker, and return a L{ChunkScore} object reflecting the performance of this chunk peraser. @type gold: C{list} of L{Tree} @param gold: The list of chunked sentences to score the chunker on. @rtype: L{ChunkScore} (tnltktchunktutilt ChunkScoretscoreRtleaves(Rtgoldt chunkscoretcorrect((s$/p/zhu/06/nlp/nltk/nltk/chunk/api.pytevaluate#s #(t__name__t __module__t__doc__RR(((s$/p/zhu/06/nlp/nltk/nltk/chunk/api.pyRs (t nltk.parseRRR(((s$/p/zhu/06/nlp/nltk/nltk/chunk/api.pys s