mirror of https://github.com/explosion/spaCy.git
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
from ...attrs import LIKE_NUM
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_num_words = [
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"không", # Zero
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"một", # One
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"mốt", # Also one, irreplacable in niché cases for unit digit such as "51"="năm mươi mốt"
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"hai", # Two
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"ba", # Three
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"bốn", # Four
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"tư", # Also four, used in certain cases for unit digit such as "54"="năm mươi tư"
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"năm", # Five
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"lăm", # Also five, irreplacable in niché cases for unit digit such as "55"="năm mươi lăm"
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"sáu", # Six
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"bảy", # Seven
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"bẩy", # Also seven, old fashioned
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"tám", # Eight
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"chín", # Nine
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"mười", # Ten
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"chục", # Also ten, used for counting in tens such as "20 eggs"="hai chục trứng"
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"trăm", # Hundred
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"nghìn", # Thousand
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"ngàn", # Also thousand, used in the south
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"vạn", # Ten thousand
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"triệu", # Million
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"tỷ", # Billion
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"tỉ" # Also billion, used in combinatorics such as "tỉ_phú"="billionaire"
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]
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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 = {LIKE_NUM: like_num}
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