mirror of
https://github.com/explosion/spaCy.git
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81564cc4e8
* adding e-KTP in tokenizer exceptions list * add exception token * removing lines with containing space as it won't matter since we use .split() method in the end, added new tokens in exception * add tokenizer exceptions list * combining base_norms with norm_exceptions * adding norm_exception * fix double key in lemmatizer * remove unused import on punctuation.py * reformat stop_words to reduce number of lines, improve readibility * updating tokenizer exception * implement is_currency for lang/id * adding orth_first_upper in tokenizer_exceptions * update the norm_exception list * remove bunch of abbreviations * adding contributors file
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import unicodedata
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from .punctuation import LIST_CURRENCY
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from ...attrs import IS_CURRENCY, LIKE_NUM
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_num_words = ['nol', 'satu', 'dua', 'tiga', 'empat', 'lima', 'enam', 'tujuh',
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'delapan', 'sembilan', 'sepuluh', 'sebelas', 'belas', 'puluh',
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'ratus', 'ribu', 'juta', 'miliar', 'biliun', 'triliun', 'kuadriliun',
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'kuintiliun', 'sekstiliun', 'septiliun', 'oktiliun', 'noniliun', 'desiliun']
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def like_num(text):
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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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if text.count('-') == 1:
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_, num = text.split('-')
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if num.isdigit() or num in _num_words:
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return True
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return False
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def is_currency(text):
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if text in LIST_CURRENCY:
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return True
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for char in text:
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if unicodedata.category(char) != 'Sc':
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return False
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return True
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LEX_ATTRS = {
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IS_CURRENCY: is_currency,
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LIKE_NUM: like_num
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}
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