spaCy/spacy/lang/it/__init__.py
Sofie 9745b0d523 Improve Italian & Urdu tokenization accuracy (#3228)
## 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.
2019-02-04 22:39:25 +01:00

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Python

# coding: utf8
from __future__ import unicode_literals
from .stop_words import STOP_WORDS
from .lemmatizer import LOOKUP
from .tag_map import TAG_MAP
from ..tokenizer_exceptions import BASE_EXCEPTIONS
from ..norm_exceptions import BASE_NORMS
from ...language import Language
from ...attrs import LANG, NORM
from ...util import update_exc, add_lookups
from .punctuation import TOKENIZER_INFIXES
class ItalianDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters[LANG] = lambda text: "it"
lex_attr_getters[NORM] = add_lookups(
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
)
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS)
stop_words = STOP_WORDS
lemma_lookup = LOOKUP
tag_map = TAG_MAP
infixes = TOKENIZER_INFIXES
class Italian(Language):
lang = "it"
Defaults = ItalianDefaults
__all__ = ["Italian"]