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一、Chunking 句子分塊

Segmentation and Labeling at both the Token and Chunk Levels

1 noun phrase chunking( NP-chunking)名詞短語(yǔ)

import nltk

sentence = [("the", "DT"), ("little", "JJ"), ("yellow", "JJ"),("dog", "NN"), ("barked", "VBD"), ("at", "IN"),  ("the", "DT"), ("cat", "NN")]

grammar = "NP: {<DT>?<JJ>*<NN>}"

cp = nltk.RegexpParser(grammar)

result = cp.parse(sentence)

print(result)

result.draw()

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如果覺(jué)得上述對(duì)句子人式標(biāo)注很麻煩，可以改為以下：

import nltk

sentence="the little dog baked at the cat"

words=nltk.word_tokenize(sentence)   #分詞

sent_tag=nltk.pos_tag(words)       #加標(biāo)注

grammar = "NP: {<DT>?<JJ>*<NN>}"

cp = nltk.RegexpParser(grammar)

result = cp.parse(sent_tag)

print(result)

result.draw()

練習(xí)1：考慮下面的名詞短語(yǔ)如何表示。