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This reverts commit 6f314f99c4
.
We are reverting this until we can support this normalization more
consistently across vectors, training corpora, and lemmatizer data.
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3252f6b13f
commit
b5af0fe836
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@ -1,4 +1,4 @@
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from ...attrs import LIKE_NUM, NORM, PREFIX, SUFFIX
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from ...attrs import LIKE_NUM
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_num_words = [
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@ -63,55 +63,4 @@ def like_num(text):
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return False
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def _cyr_to_latin_norm(text):
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# fmt: off
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# source: https://github.com/opendatakosovo/cyrillic-transliteration/blob/v1.1.1/cyrtranslit/mapping.py
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SR_CYR_TO_LAT_DICT = {
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u'А': u'A', u'а': u'a',
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u'Б': u'B', u'б': u'b',
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u'В': u'V', u'в': u'v',
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u'Г': u'G', u'г': u'g',
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u'Д': u'D', u'д': u'd',
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u'Ђ': u'Đ', u'ђ': u'đ',
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u'Е': u'E', u'е': u'e',
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u'Ж': u'Ž', u'ж': u'ž',
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u'З': u'Z', u'з': u'z',
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u'И': u'I', u'и': u'i',
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u'Ј': u'J', u'ј': u'j',
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u'К': u'K', u'к': u'k',
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u'Л': u'L', u'л': u'l',
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u'Љ': u'Lj', u'љ': u'lj',
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u'М': u'M', u'м': u'm',
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u'Н': u'N', u'н': u'n',
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u'Њ': u'Nj', u'њ': u'nj',
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u'О': u'O', u'о': u'o',
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u'П': u'P', u'п': u'p',
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u'Р': u'R', u'р': u'r',
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u'С': u'S', u'с': u's',
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u'Т': u'T', u'т': u't',
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u'Ћ': u'Ć', u'ћ': u'ć',
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u'У': u'U', u'у': u'u',
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u'Ф': u'F', u'ф': u'f',
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u'Х': u'H', u'х': u'h',
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u'Ц': u'C', u'ц': u'c',
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u'Ч': u'Č', u'ч': u'č',
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u'Џ': u'Dž', u'џ': u'dž',
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u'Ш': u'Š', u'ш': u'š',
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}
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# fmt: on
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return "".join(SR_CYR_TO_LAT_DICT.get(c, c) for c in text)
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def norm(text):
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return _cyr_to_latin_norm(text).lower()
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def prefix(text):
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return _cyr_to_latin_norm(text)[0]
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def suffix(text):
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return _cyr_to_latin_norm(text)[-3:]
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LEX_ATTRS = {LIKE_NUM: like_num, NORM: norm, PREFIX: prefix, SUFFIX: suffix}
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LEX_ATTRS = {LIKE_NUM: like_num}
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@ -1,4 +1,3 @@
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from .lex_attrs import _cyr_to_latin_norm
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ...symbols import ORTH, NORM
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from ...util import update_exc
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@ -90,7 +89,5 @@ _slang_exc = [
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for slang_desc in _slang_exc:
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_exc[slang_desc[ORTH]] = [slang_desc]
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for _exc_key in _exc:
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_exc[_exc_key][0][NORM] = _cyr_to_latin_norm(_exc[_exc_key][0][NORM])
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TOKENIZER_EXCEPTIONS = update_exc(BASE_EXCEPTIONS, _exc)
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@ -2,15 +2,15 @@ import pytest
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@pytest.mark.parametrize(
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"text,norms",
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"text,norms,lemmas",
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[
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("о.г.", ["ove godine"]),
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("чет.", ["četvrtak"]),
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("гђа", ["gospođa"]),
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("ил'", ["ili"]),
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("о.г.", ["ове године"], ["ова година"]),
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("чет.", ["четвртак"], ["четвртак"]),
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("гђа", ["госпођа"], ["госпођа"]),
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("ил'", ["или"], ["или"]),
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],
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)
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def test_sr_tokenizer_abbrev_exceptions(sr_tokenizer, text, norms):
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def test_sr_tokenizer_abbrev_exceptions(sr_tokenizer, text, norms, lemmas):
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tokens = sr_tokenizer(text)
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assert len(tokens) == 1
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assert [token.norm_ for token in tokens] == norms
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@ -1,17 +0,0 @@
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import pytest
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@pytest.mark.parametrize(
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"text,like_num,norm,prefix,suffix",
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[
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("нула", True, "nula", "n", "ula"),
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("Казна", False, "kazna", "K", "zna"),
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],
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)
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def test_lex_attrs(sr_tokenizer, text, like_num, norm, prefix, suffix):
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tokens = sr_tokenizer(text)
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assert len(tokens) == 1
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assert tokens[0].like_num == like_num
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assert tokens[0].norm_ == norm
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assert tokens[0].prefix_ == prefix
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assert tokens[0].suffix_ == suffix
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