spaCy/spacy/lang/nb/__init__.py
2018-02-05 14:45:05 +01:00

40 lines
1.2 KiB
Python

# coding: utf8
from __future__ import unicode_literals
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .stop_words import STOP_WORDS
from .morph_rules import MORPH_RULES
from ..tokenizer_exceptions import BASE_EXCEPTIONS
from ..norm_exceptions import BASE_NORMS
from .lemmatizer import LOOKUP
from .tag_map import TAG_MAP
from ...language import Language
from ...attrs import LANG, NORM
from ...util import update_exc, add_lookups
# Borrowing french syntax parser because both languages use
# universal dependencies for tagging/parsing.
# Read here for more:
# https://github.com/explosion/spaCy/pull/1882#issuecomment-361409573
from .syntax_iterators import SYNTAX_ITERATORS
class NorwegianDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters[LANG] = lambda text: 'nb'
lex_attr_getters[NORM] = add_lookups(Language.Defaults.lex_attr_getters[NORM], BASE_NORMS)
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
stop_words = STOP_WORDS
tag_map = TAG_MAP
lemma_lookup = LOOKUP
syntax_iterators = SYNTAX_ITERATORS
class Norwegian(Language):
lang = 'nb'
Defaults = NorwegianDefaults
__all__ = ['Norwegian']