mirror of https://github.com/explosion/spaCy.git
57 lines
942 B
Python
57 lines
942 B
Python
from ...attrs import LIKE_NUM
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_num_words = [
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"sero",
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"isa",
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"dalawa",
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"tatlo",
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"apat",
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"lima",
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"anim",
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"pito",
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"walo",
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"siyam",
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"sampu",
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"labing-isa",
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"labindalawa",
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"labintatlo",
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"labing-apat",
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"labinlima",
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"labing-anim",
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"labimpito",
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"labing-walo",
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"labinsiyam",
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"dalawampu",
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"tatlumpu",
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"apatnapu",
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"limampu",
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"animnapu",
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"pitumpu",
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"walumpu",
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"siyamnapu",
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"daan",
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"libo",
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"milyon",
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"bilyon",
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"trilyon",
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"quadrilyon",
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"gajilyon",
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"bazilyon",
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]
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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 in _num_words:
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return True
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return False
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LEX_ATTRS = {LIKE_NUM: like_num}
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