我正在尝试使用正则表达式在“但是”一词（或任何其他协调连词）处对句子进行分块。它不起作用...
sentence = nltk.pos_tag(word_tokenize("There are no large collections present but there is spinal canal stenosis."))
result = nltk.RegexpParser(grammar).parse(sentence)
DigDug = nltk.RegexpParser(r'CHUNK: {.*<CC>.*}')
for subtree in DigDug.parse(sentence).subtrees():
if subtree.label() == 'CHUNK': print(subtree.node())
我需要拆分句子"There are no large collections present but there is spinal canal stenosis."分为两部分：
1. "There are no large collections present"
2. "there is spinal canal stenosis."
我还希望使用相同的代码在“and”和其他并列连词（CC）词处分割句子。但我的代码不起作用。请帮忙。
我认为你可以简单地做
import re
result = re.split(r"\s+(?:but|and)\s+", sentence)
where
`\s` Match a single character that is a "whitespace character" (spaces, tabs, line breaks, etc.)
`+` Between one and unlimited times, as many times as possible, giving back as needed (greedy)
`(?:` Match the regular expression below, do not capture
Match either the regular expression below (attempting the next alternative only if this one fails)
`but` Match the characters "but" literally
`|` Or match regular expression number 2 below (the entire group fails if this one fails to match)
`and` Match the characters "and" literally
)
`\s` Match a single character that is a "whitespace character" (spaces, tabs, line breaks, etc.)
`+` Between one and unlimited times, as many times as possible, giving back as needed (greedy)
您可以在其中添加更多连词，并用竖线字符分隔|。
但请注意，这些单词不包含在正则表达式中具有特殊含义的字符。如果有疑问，请先使用以下命令逃避它们re.escape(word)
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