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Sort languages alphabetically [ci skip]
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@ -31,13 +31,13 @@ p
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nlp = spacy.blank('fi') # blank instance
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nlp = spacy.blank('fi') # blank instance
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+table(["Language", "Code", "Language data"])
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+table(["Language", "Code", "Language data"])
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for lang, code in LANGUAGES
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- var sorted_langs = Object.assign({}, ...Object.keys(LANGUAGES).filter(key => !MODELS[key]).sort().map(key => ({ [key]: LANGUAGES[key] })))
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if !Object.keys(MODELS).includes(code)
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for lang, code in sorted_langs
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+row
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+row
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+cell #{LANGUAGES[code]}
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+cell #{LANGUAGES[code]}
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+cell #[code=code]
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+cell #[code=code]
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+cell
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+cell
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+src(gh("spaCy", "spacy/lang/" + code)) #[code lang/#{code}]
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+src(gh("spaCy", "spacy/lang/" + code)) #[code lang/#{code}]
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+infobox("Dependencies")
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+infobox("Dependencies")
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.o-block-small Some language tokenizers require external dependencies.
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.o-block-small Some language tokenizers require external dependencies.
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