nltk.RegexpParsercan处理自定义标签。
以下是修改代码以使其工作的方法:
# Import the RegexpParser
from nltk.chunk import RegexpParser
# Define your custom tagged data.
tags = [(u'greatest', 'P'), (u'internet', 'NN'), (u'ever', 'A'),
(u',', ','), (u'and', 'CC'), (u'its', 'PRP$'), (u'being', 'VBG'),
(u'slow', 'N'), (u'as', 'IN'), (u'hell', 'NN')]
# Define your custom grammar (modified to be a valid regex).
grammar = """ CHUNK: {<A>*<P>+} """
# Create an instance of your custom parser.
custom_tag_parser = RegexpParser(grammar)
# Parse!
custom_tag_parser.parse(tags)
这是您的测试数据得到的结果:
Tree('S', [Tree('CHUNK', [(u'greatest', 'P')]), (u'internet', 'NN'), (u'ever', 'A'), (u',', ','), (u'and', 'CC'), (u'its', 'PRP$'), (u'being', 'VBG'), (u'slow', 'N'), (u'as', 'IN'), (u'hell', 'NN')])