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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
241 lines
5.5 KiB
Python
241 lines
5.5 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import unicodedata
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import re
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from .. import attrs
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_like_email = re.compile(r"([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)").match
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_tlds = set(
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"com|org|edu|gov|net|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|"
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"name|pro|tel|travel|xyz|icu|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|"
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"ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|"
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"cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|"
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"ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|"
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"gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|"
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"je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|"
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"lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|"
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"na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|"
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"pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|sk|sl|sm|sn|so|sr|"
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"ss|st|su|sv|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|"
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"ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|za|zm|zw".split("|")
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)
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def is_punct(text):
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for char in text:
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if not unicodedata.category(char).startswith("P"):
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return False
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return True
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def is_ascii(text):
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for char in text:
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if ord(char) >= 128:
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return False
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return True
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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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# can be overwritten by lang with list of number words
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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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return False
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def is_bracket(text):
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brackets = ("(", ")", "[", "]", "{", "}", "<", ">")
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return text in brackets
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def is_quote(text):
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quotes = (
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'"',
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"'",
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"`",
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"«",
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"»",
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"‘",
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"’",
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"‚",
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"‛",
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"“",
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"”",
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"„",
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"‟",
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"‹",
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"›",
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"❮",
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"❯",
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"''",
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"``",
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)
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return text in quotes
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def is_left_punct(text):
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left_punct = (
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"(",
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"[",
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"{",
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"<",
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'"',
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"'",
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"«",
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"‘",
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"‚",
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"‛",
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"“",
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"„",
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"‟",
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"‹",
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"❮",
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"``",
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)
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return text in left_punct
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def is_right_punct(text):
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right_punct = (")", "]", "}", ">", '"', "'", "»", "’", "”", "›", "❯", "''")
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return text in right_punct
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def is_currency(text):
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# can be overwritten by lang with list of currency words, e.g. dollar, euro
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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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def like_email(text):
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return bool(_like_email(text))
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def like_url(text):
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# We're looking for things that function in text like URLs. So, valid URL
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# or not, anything they say http:// is going to be good.
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if text.startswith("http://") or text.startswith("https://"):
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return True
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elif text.startswith("www.") and len(text) >= 5:
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return True
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if text[0] == "." or text[-1] == ".":
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return False
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if "@" in text:
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# prevent matches on e-mail addresses – check after splitting the text
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# to still allow URLs containing an '@' character (see #1715)
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return False
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for i in range(len(text)):
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if text[i] == ".":
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break
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else:
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return False
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tld = text.rsplit(".", 1)[1].split(":", 1)[0]
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if tld.endswith("/"):
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return True
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if tld.isalpha() and tld in _tlds:
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return True
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return False
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def word_shape(text):
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if len(text) >= 100:
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return "LONG"
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shape = []
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last = ""
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shape_char = ""
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seq = 0
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for char in text:
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if char.isalpha():
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if char.isupper():
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shape_char = "X"
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else:
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shape_char = "x"
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elif char.isdigit():
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shape_char = "d"
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else:
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shape_char = char
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if shape_char == last:
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seq += 1
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else:
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seq = 0
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last = shape_char
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if seq < 4:
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shape.append(shape_char)
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return "".join(shape)
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def lower(string):
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return string.lower()
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def prefix(string):
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return string[0]
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def suffix(string):
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return string[-3:]
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def is_alpha(string):
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return string.isalpha()
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def is_digit(string):
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return string.isdigit()
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def is_lower(string):
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return string.islower()
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def is_space(string):
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return string.isspace()
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def is_title(string):
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return string.istitle()
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def is_upper(string):
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return string.isupper()
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def is_stop(string, stops=set()):
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return string.lower() in stops
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LEX_ATTRS = {
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attrs.LOWER: lower,
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attrs.NORM: lower,
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attrs.PREFIX: prefix,
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attrs.SUFFIX: suffix,
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attrs.IS_ALPHA: is_alpha,
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attrs.IS_DIGIT: is_digit,
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attrs.IS_LOWER: is_lower,
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attrs.IS_SPACE: is_space,
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attrs.IS_TITLE: is_title,
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attrs.IS_UPPER: is_upper,
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attrs.IS_STOP: is_stop,
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attrs.LIKE_EMAIL: like_email,
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attrs.LIKE_NUM: like_num,
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attrs.IS_PUNCT: is_punct,
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attrs.IS_ASCII: is_ascii,
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attrs.SHAPE: word_shape,
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attrs.IS_BRACKET: is_bracket,
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attrs.IS_QUOTE: is_quote,
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attrs.IS_LEFT_PUNCT: is_left_punct,
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attrs.IS_RIGHT_PUNCT: is_right_punct,
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attrs.IS_CURRENCY: is_currency,
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attrs.LIKE_URL: like_url,
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}
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