mirror of https://github.com/explosion/spaCy.git
73 lines
2.7 KiB
Plaintext
73 lines
2.7 KiB
Plaintext
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//- 💫 DOCS > USAGE > MODELS > LANGUAGE SUPPORT
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p spaCy currently provides models for the following languages:
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+table(["Language", "Code", "Language data", "Models"])
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for models, code in MODELS
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- var count = Object.keys(models).length
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+row
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+cell=LANGUAGES[code]
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+cell #[code=code]
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+cell
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+src(gh("spaCy", "spacy/lang/" + code)) #[code lang/#{code}]
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+cell
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+a("/models/" + code) #{count} #{(count == 1) ? "model" : "models"}
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+h(3, "alpha-support") Alpha tokenization support
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p
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| Work has started on the following languages. You can help by
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| #[+a("/usage/adding-languages#language-data") improving the existing language data]
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| and extending the tokenization patterns.
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+aside("Usage note")
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| Note that the alpha languages don't yet come with a language model. In
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| order to use them, you have to import them directly, or use
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| #[+api("spacy#blank") #[code spacy.blank]]:
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+code.o-no-block.
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from spacy.lang.fi import Finnish
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nlp = Finnish() # use directly
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nlp = spacy.blank('fi') # blank instance
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+table(["Language", "Code", "Language data"])
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for lang, code in LANGUAGES
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if !Object.keys(MODELS).includes(code)
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+row
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+cell #{LANGUAGES[code]}
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+cell #[code=code]
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+cell
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+src(gh("spaCy", "spacy/lang/" + code)) #[code lang/#{code}]
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+infobox("Dependencies")
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| Some language tokenizers require external dependencies. To use #[strong Chinese],
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| you need to have #[+a("https://github.com/fxsjy/jieba") Jieba] installed.
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| The #[strong Japanese] tokenizer requires
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| #[+a("https://github.com/mocobeta/janome") Janome].
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+h(3, "multi-language") Multi-language support
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+tag-new(2)
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p
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| As of v2.0, spaCy supports models trained on more than one language. This
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| is especially useful for named entity recognition. The language ID used
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| for multi-language or language-neutral models is #[code xx]. The
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| language class, a generic subclass containing only the base language data,
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| can be found in #[+src(gh("spaCy", "spacy/lang/xx")) #[code lang/xx]].
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p
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| To load your model with the neutral, multi-language class, simply set
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| #[code "language": "xx"] in your
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| #[+a("/usage/training#models-generating") model package]'s
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| meta.json. You can also import the class directly, or call
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| #[+api("util#get_lang_class") #[code util.get_lang_class()]] for
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| lazy-loading.
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+code("Standard import").
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from spacy.lang.xx import MultiLanguage
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nlp = MultiLanguage()
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+code("With lazy-loading").
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from spacy.util import get_lang_class
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nlp = get_lang_class('xx')
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