def sentence_chunk(sentence):
""" Chunks a tagged sentence into syntactically correlated parts of words.
"""
tagged = sentence_tag(sentence)
tagged = str(tagged)
leaves = nltk_tree.chunk(tagged).leaves()
tree = nltk_tree.Tree("", leaves)
for tag, rule, desc in chunk_rules:
r = nltk_chunk.ChunkRule(rule, "")
chunker = nltk_chunk.RegexpChunk([r], chunk_node=tag)
tree = chunker.parse(tree)
return _traverse_chunktree(tree)
from nltk_lite.parse import chunk chunkParser = chunk.RegexpChunk() print chunkParser.parse(['This', 'is', 'a', 'test'])