How To Parse Custom Tags Using Nltk.regexp.parser()

My question is similar to this unanswered question: Using custom POS tags for NLTK chunking?, but the error I am getting is different. I am trying to parse a sentence to which I ha

Solution 1:

nltk.RegexpParser can process custom tags.

Here is how you can modify your code to work:

# Import the RegexpParserfrom 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)

This is the result you would get for your test data:

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')])

Solution 2:

I'm not familiar with NTLK, but in Python regular expressions ?* is a syntax error. Perhaps you meant *? which is a lazy quantifier.