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			51 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			51 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
from typing import Optional
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from thinc.api import Model
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from .lemmatizer import MacedonianLemmatizer
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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 ...attrs import LANG
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from ...util import update_exc
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from ...lookups import Lookups
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class MacedonianDefaults(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: "mk"
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    # Optional: replace flags with custom functions, e.g. like_num()
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    lex_attr_getters.update(LEX_ATTRS)
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    # Merge base exceptions and custom tokenizer exceptions
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    tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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    stop_words = STOP_WORDS
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    @classmethod
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    def create_lemmatizer(cls, nlp=None, lookups=None):
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        if lookups is None:
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            lookups = Lookups()
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        return MacedonianLemmatizer(lookups)
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class Macedonian(Language):
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    lang = "mk"
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    Defaults = MacedonianDefaults
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@Macedonian.factory(
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    "lemmatizer",
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    assigns=["token.lemma"],
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    default_config={"model": None, "mode": "rule", "overwrite": False},
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    default_score_weights={"lemma_acc": 1.0},
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)
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def make_lemmatizer(
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    nlp: Language, model: Optional[Model], name: str, mode: str, overwrite: bool
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):
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    return MacedonianLemmatizer(nlp.vocab, model, name, mode=mode, overwrite=overwrite)
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__all__ = ["Macedonian"]
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