mirror of https://github.com/explosion/spaCy.git
33 lines
973 B
Python
33 lines
973 B
Python
# coding: utf8
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from __future__ import unicode_literals
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from ...attrs import LIKE_NUM
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_num_words = ['zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven',
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'eight', 'nine', 'ten', 'eleven', 'twelve', 'thirteen', 'fourteen',
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'fifteen', 'sixteen', 'seventeen', 'eighteen', 'nineteen', 'twenty',
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'thirty', 'forty', 'fifty', 'sixty', 'seventy', 'eighty', 'ninety',
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'hundred', 'thousand', 'million', 'billion', 'trillion', 'quadrillion',
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'gajillion', 'bazillion']
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def like_num(text):
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if text.startswith(('+', '-', '±', '~')):
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text = text[1:]
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text = text.replace(',', '').replace('.', '')
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if text.isdigit():
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return True
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if text.count('/') == 1:
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num, denom = text.split('/')
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if num.isdigit() and denom.isdigit():
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return True
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if text.lower() in _num_words:
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return True
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return False
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LEX_ATTRS = {
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LIKE_NUM: like_num
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}
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