spaCy/spacy/lang/en/lex_attrs.py

# coding: utf8
from __future__ import unicode_literals

from ...attrs import LIKE_NUM


_num_words = ['zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven',
              'eight', 'nine', 'ten', 'eleven', 'twelve', 'thirteen', 'fourteen',
              'fifteen', 'sixteen', 'seventeen', 'eighteen', 'nineteen', 'twenty',
              'thirty', 'forty', 'fifty', 'sixty', 'seventy', 'eighty', 'ninety',
              'hundred', 'thousand', 'million', 'billion', 'trillion', 'quadrillion',
              'gajillion', 'bazillion']


def like_num(text):
    text = text.replace(',', '').replace('.', '')
    if text.isdigit():
        return True
    if text.count('/') == 1:
        num, denom = text.split('/')
        if num.isdigit() and denom.isdigit():
            return True
    if text.lower() in _num_words:
        return True
    return False


LEX_ATTRS = {
    LIKE_NUM: like_num
}