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b10c7bc56e
* Update stop_words.py Hebrew STOP WORDS * Update stop_words.py * contributor * contributor * add some common domain extentions support human number 1K/1M.... * support human number 1K/1M.... * hebrew number tokenize 1K/1M implement in EN * test human tokenize fix * test * heb like num revert human number change * heb like num
110 lines
1.8 KiB
Python
110 lines
1.8 KiB
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 = [
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"zero",
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"one",
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"two",
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"three",
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"four",
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"five",
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"six",
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"seven",
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"eight",
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"nine",
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"ten",
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"eleven",
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"twelve",
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"thirteen",
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"fourteen",
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"fifteen",
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"sixteen",
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"seventeen",
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"eighteen",
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"nineteen",
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"twenty",
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"thirty",
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"forty",
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"fifty",
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"sixty",
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"seventy",
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"eighty",
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"ninety",
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"hundred",
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"thousand",
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"million",
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"billion",
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"trillion",
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"quadrillion",
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"gajillion",
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"bazillion",
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]
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_ordinal_words = [
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"first",
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"second",
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"third",
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"fourth",
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"fifth",
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"sixth",
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"seventh",
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"eighth",
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"ninth",
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"tenth",
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"eleventh",
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"twelfth",
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"thirteenth",
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"fourteenth",
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"fifteenth",
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"sixteenth",
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"seventeenth",
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"eighteenth",
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"nineteenth",
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"twentieth",
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"thirtieth",
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"fortieth",
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"fiftieth",
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"sixtieth",
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"seventieth",
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"eightieth",
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"ninetieth",
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"hundredth",
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"thousandth",
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"millionth",
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"billionth",
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"trillionth",
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"quadrillionth",
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"gajillionth",
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"bazillionth",
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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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text_lower = text.lower()
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if text_lower in _num_words:
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return True
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# CHeck ordinal number
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if text_lower in _ordinal_words:
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return True
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if text_lower.endswith("th"):
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if text_lower[:-2].isdigit():
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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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