python for in遍历字符串 并将其return返回_python – NLTK：如何遍历名词短语以返回字符串列表？...

在NLTK中,如何遍历已解析的句子以返回名词短语字符串列表？

我有两个目标：

(1)创建名词短语列表,而不是使用’traverse()’方法打印它们.我目前使用StringIO来记录现有traverse()方法的输出.这不是一个可接受的解决方案.

(2)解析名词短语字符串,以便：'(NP Michael / NNP Jackson / NNP)成为’Michael Jackson’.在NLTK中有解除解析的方法吗？

NLTK文档建议使用traverse()来查看名词短语,但是如何在这个递归方法中捕获’t’,以便生成一个字符串名词短语列表？

from nltk.tag import pos_tag

def traverse(t):

try:

t.label()

except AttributeError:

return

else:

if t.label() == 'NP': print(t) # or do something else

else:

for child in t:

traverse(child)

def nounPhrase(tagged_sent):

# Tag sentence for part of speech

tagged_sent = pos_tag(sentence.split()) # List of tuples with [(Word, PartOfSpeech)]

# Define several tag patterns

grammar = r"""

NP: {

?*} # chunk determiner/possessive, adjectives and noun

{+} # chunk sequences of proper nouns

{+} # chunk consecutive nouns

"""

cp = nltk.RegexpParser(grammar) # Define Parser

SentenceTree = cp.parse(tagged_sent)

NounPhrases = traverse(SentenceTree) # collect Noun Phrase

return(NounPhrases)

sentence = "Michael Jackson likes to eat at McDonalds"

tagged_sent = pos_tag(sentence.split())

NP = nounPhrase(tagged_sent)

print(NP)

目前打印：

(NP Michael / NNP Jackson / NNP)

(NP麦当劳/ NNP)

并将’无’存储到NP