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## Description 1. Added the same infix rule as in French (`d'une`, `j'ai`) for Italian (`c'è`, `l'ha`), bringing F-score on `it_isdt-ud-train.txt` from 96% to 99%. Added unit test to check this behaviour. 2. Added specific Urdu punctuation character as suffix, improving F-score on `ur_udtb-ud-train.txt` from 94% to 100%. Added unit test to check this behaviour. ### Types of change Enhancement of Italian & Urdu tokenization ## Checklist - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
36 lines
922 B
Python
36 lines
922 B
Python
# coding: utf8
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from __future__ import unicode_literals
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from .stop_words import STOP_WORDS
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from .lemmatizer import LOOKUP
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from .tag_map import TAG_MAP
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ..norm_exceptions import BASE_NORMS
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from ...language import Language
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from ...attrs import LANG, NORM
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from ...util import update_exc, add_lookups
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from .punctuation import TOKENIZER_INFIXES
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class ItalianDefaults(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: "it"
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
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)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS)
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stop_words = STOP_WORDS
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lemma_lookup = LOOKUP
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tag_map = TAG_MAP
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infixes = TOKENIZER_INFIXES
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class Italian(Language):
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lang = "it"
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Defaults = ItalianDefaults
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__all__ = ["Italian"]
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