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Bulgarian tokenizer exceptions (#7114)
* [Bulgarian] Add tokenizer exceptions and like_num for Bulgarian * [Bulgarian] Add tokenizer exceptions and like_num for Bulgarian
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.github/contributors/dardoria.md
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.github/contributors/dardoria.md
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# spaCy contributor agreement
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This spaCy Contributor Agreement (**"SCA"**) is based on the
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## Contributor Details
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| Field | Entry |
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|------------------------------- | -------------------- |
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| Name | Boian Tzonev |
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| Company name (if applicable) | |
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| Title or role (if applicable) | |
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| Date | 18.02.2021 |
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| GitHub username | dardoria |
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| Website (optional) | |
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@ -1,9 +1,21 @@
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from .stop_words import STOP_WORDS
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from .stop_words import STOP_WORDS
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .lex_attrs import LEX_ATTRS
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ...language import Language
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from ...language import Language
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from ...attrs import LANG
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from ...util import update_exc
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class BulgarianDefaults(Language.Defaults):
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class BulgarianDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters[LANG] = lambda text: "bg"
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lex_attr_getters.update(LEX_ATTRS)
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stop_words = STOP_WORDS
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stop_words = STOP_WORDS
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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class Bulgarian(Language):
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class Bulgarian(Language):
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88
spacy/lang/bg/lex_attrs.py
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88
spacy/lang/bg/lex_attrs.py
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@ -0,0 +1,88 @@
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from ...attrs import LIKE_NUM
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_num_words = [
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"нула",
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"едно",
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"един",
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"една",
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"две",
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"три",
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"четири",
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"пет",
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"шест",
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"седем",
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"осем",
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"девет",
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"десет",
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"единадесет",
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"единайсет",
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"дванадесет",
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"дванайсет",
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"тринадесет",
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"тринайсет",
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"четиринадесет",
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"четиринайсет"
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"петнадесет",
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"петнайсет"
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"шестнадесет",
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"шестнайсет",
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"седемнадесет",
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"седемнайсет"
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"осемнадесет",
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"осемнайсет",
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"деветнадесет",
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"деветнайсет",
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"двадесет",
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"двайсет",
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"тридесет",
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"трийсет"
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"четиридесет",
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"четиресет",
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"петдесет",
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"шестдесет",
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"шейсет",
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"седемдесет",
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"осемдесет",
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"деветдесет",
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"сто",
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"двеста",
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"триста",
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"четиристотин",
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"петстотин",
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"шестстотин",
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"седемстотин",
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"осемстотин",
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"деветстотин",
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"хиляда",
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"милион",
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"милиона",
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"милиард",
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"милиарда",
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"трилион",
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"трилионa",
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"билион",
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"билионa",
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"квадрилион",
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"квадрилионa",
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"квинтилион",
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"квинтилионa",
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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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68
spacy/lang/bg/tokenizer_exceptions.py
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68
spacy/lang/bg/tokenizer_exceptions.py
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@ -0,0 +1,68 @@
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from ...symbols import ORTH, NORM
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_exc = {}
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_abbr_exc = [
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{ORTH: "м", NORM: "метър"},
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{ORTH: "мм", NORM: "милиметър"},
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{ORTH: "см", NORM: "сантиметър"},
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{ORTH: "дм", NORM: "дециметър"},
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{ORTH: "км", NORM: "километър"},
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{ORTH: "кг", NORM: "килограм"},
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{ORTH: "мг", NORM: "милиграм"},
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{ORTH: "г", NORM: "грам"},
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{ORTH: "т", NORM: "тон"},
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{ORTH: "хл", NORM: "хектолиър"},
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{ORTH: "дкл", NORM: "декалитър"},
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{ORTH: "л", NORM: "литър"},
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]
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for abbr in _abbr_exc:
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_exc[abbr[ORTH]] = [abbr]
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_abbr_line_exc = [
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{ORTH: "г-жа", NORM: "госпожа"},
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{ORTH: "г-н", NORM: "господин"},
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{ORTH: "г-ца", NORM: "госпожица"},
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{ORTH: "д-р", NORM: "доктор"},
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{ORTH: "о-в", NORM: "остров"},
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{ORTH: "п-в", NORM: "полуостров"},
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]
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for abbr in _abbr_line_exc:
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_exc[abbr[ORTH]] = [abbr]
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_abbr_dot_exc = [
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{ORTH: "акад.", NORM: "академик"},
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{ORTH: "ал.", NORM: "алинея"},
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{ORTH: "арх.", NORM: "архитект"},
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{ORTH: "бл.", NORM: "блок"},
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{ORTH: "бр.", NORM: "брой"},
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{ORTH: "бул.", NORM: "булевард"},
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{ORTH: "в.", NORM: "век"},
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{ORTH: "г.", NORM: "година"},
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{ORTH: "гр.", NORM: "град"},
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{ORTH: "ж.р.", NORM: "женски род"},
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{ORTH: "инж.", NORM: "инженер"},
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{ORTH: "лв.", NORM: "лев"},
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{ORTH: "м.р.", NORM: "мъжки род"},
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{ORTH: "мат.", NORM: "математика"},
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{ORTH: "мед.", NORM: "медицина"},
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{ORTH: "пл.", NORM: "площад"},
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{ORTH: "проф.", NORM: "професор"},
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{ORTH: "с.", NORM: "село"},
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{ORTH: "с.р.", NORM: "среден род"},
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{ORTH: "св.", NORM: "свети"},
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{ORTH: "сп.", NORM: "списание"},
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{ORTH: "стр.", NORM: "страница"},
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{ORTH: "ул.", NORM: "улица"},
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{ORTH: "чл.", NORM: "член"},
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]
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for abbr in _abbr_dot_exc:
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_exc[abbr[ORTH]] = [abbr]
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TOKENIZER_EXCEPTIONS = _exc
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@ -39,6 +39,11 @@ def ar_tokenizer():
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return get_lang_class("ar")().tokenizer
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return get_lang_class("ar")().tokenizer
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@pytest.fixture(scope="session")
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def bg_tokenizer():
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return get_lang_class("bg")().tokenizer
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@pytest.fixture(scope="session")
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@pytest.fixture(scope="session")
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def bn_tokenizer():
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def bn_tokenizer():
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return get_lang_class("bn")().tokenizer
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return get_lang_class("bn")().tokenizer
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30
spacy/tests/lang/bg/test_text.py
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30
spacy/tests/lang/bg/test_text.py
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import pytest
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from spacy.lang.bg.lex_attrs import like_num
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@pytest.mark.parametrize(
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"word,match",
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[
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("10", True),
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("1", True),
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("10000", True),
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("1.000", True),
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("бројка", False),
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("999,23", True),
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("едно", True),
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("две", True),
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("цифра", False),
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("единайсет", True),
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("десет", True),
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("сто", True),
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("брой", False),
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("хиляда", True),
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("милион", True),
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(",", False),
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("милиарда", True),
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("билион", True),
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],
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)
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def test_bg_lex_attrs_like_number(bg_tokenizer, word, match):
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tokens = bg_tokenizer(word)
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assert len(tokens) == 1
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assert tokens[0].like_num == match
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