spaCy/spacy/lang/fa/__init__.py

41 lines
1.3 KiB
Python

# coding: utf8
from __future__ import unicode_literals
from ...language import Language
from ...attrs import LANG, NORM
from ...util import update_exc, add_lookups
from ..norm_exceptions import BASE_NORMS
from .stop_words import STOP_WORDS
from .lex_attrs import LEX_ATTRS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .tag_map import TAG_MAP
from .punctuation import TOKENIZER_SUFFIXES
class PersianDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters.update(LEX_ATTRS)
lex_attr_getters[NORM] = add_lookups(
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
)
lex_attr_getters[LANG] = lambda text: "fa"
tokenizer_exceptions = update_exc(TOKENIZER_EXCEPTIONS)
stop_words = STOP_WORDS
tag_map = TAG_MAP
suffixes = TOKENIZER_SUFFIXES
writing_system = {"direction": "rtl", "has_case": False, "has_letters": True}
# extracted from Mojgan Seraji's Persian Universal Dependencies Corpus
resources = {
"lemma_rules": "lemmatizer/lemma_rules.json",
"lemma_index": "lemmatizer/lemma_index.json",
"lemma_exc": "lemmatizer/lemma_exc.json",
}
class Persian(Language):
lang = "fa"
Defaults = PersianDefaults
__all__ = ["Persian"]