mirror of https://github.com/explosion/spaCy.git
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
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# 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 = set("""
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null eent zwee dräi véier fënnef sechs ziwen aacht néng zéng eelef zwielef dräizéng
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véierzéng foffzéng siechzéng siwwenzéng uechtzeng uechzeng nonnzéng nongzéng zwanzeg drësseg véierzeg foffzeg sechzeg siechzeg siwenzeg achtzeg achzeg uechtzeg uechzeg nonnzeg
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honnert dausend millioun milliard billioun billiard trillioun triliard
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""".split())
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_ordinal_words = set("""
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éischten zweeten drëtten véierten fënneften sechsten siwenten aachten néngten zéngten eeleften
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zwieleften dräizéngten véierzéngten foffzéngten siechzéngten uechtzéngen uechzéngten nonnzéngten nongzéngten zwanzegsten
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drëssegsten véierzegsten foffzegsten siechzegsten siwenzegsten uechzegsten nonnzegsten
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honnertsten dausendsten milliounsten
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milliardsten billiounsten billiardsten trilliounsten trilliardsten
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""".split())
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def like_num(text):
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"""
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check if text resembles a number
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"""
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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 in _num_words:
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return True
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if text in _ordinal_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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