nltk regular expression tokenizer

Question

I tried to implement a regular expression tokenizer with nltk in python, but the result is this:

>>> import nltk
>>> text = \'That U.S.A. p         


        

Answer 1

You should turn all capturing groups to non-capturing:

• ([A-Z]\.)+ > (?:[A-Z]\.)+
• \w+(-\w+)* -> \w+(?:-\w+)*
• \$?\d+(\.\d+)?%? to \$?\d+(?:\.\d+)?%?

The issue is that regexp_tokenize seems to be using re.findall that returns capture tuple lists when multiple capture groups are defined in the pattern. See this nltk.tokenize package reference:

pattern (str) – The pattern used to build this tokenizer. (This pattern must not contain capturing parentheses; Use non-capturing parentheses, e.g. (?:...), instead)

Also, I am not sure you wanted to use :-_ that matches a range including all uppercase letters, put the - to the end of the character class.

Thus, use

pattern = r'''(?x)          # set flag to allow verbose regexps
        (?:[A-Z]\.)+        # abbreviations, e.g. U.S.A.
      | \w+(?:-\w+)*        # words with optional internal hyphens
      | \$?\d+(?:\.\d+)?%?  # currency and percentages, e.g. $12.40, 82%
      | \.\.\.              # ellipsis
      | [][.,;"'?():_`-]    # these are separate tokens; includes ], [
    '''