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Update v2 docs
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@ -287,6 +287,7 @@ p
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| all personal pronouns.
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| all personal pronouns.
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+h(3, "norm-exceptions") Norm exceptions
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+h(3, "norm-exceptions") Norm exceptions
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+tag-new(2)
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p
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p
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| In addition to #[code ORTH] or #[code LEMMA], tokenizer exceptions can
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| In addition to #[code ORTH] or #[code LEMMA], tokenizer exceptions can
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| always have priority over the atrribute getters.
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| always have priority over the atrribute getters.
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+h(3, "lex-attrs") Lexical attributes
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+h(3, "lex-attrs") Lexical attributes
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+tag-new(2)
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p
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p
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| spaCy provides a range of #[+api("token#attributes") #[code Token] attributes]
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| spaCy provides a range of #[+api("token#attributes") #[code Token] attributes]
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code lang/#{lang}/syntax_iterators.py
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code lang/#{lang}/syntax_iterators.py
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+h(3, "lemmatizer") Lemmatizer
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+h(3, "lemmatizer") Lemmatizer
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+tag-new(2)
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p
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p
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| As of v2.0, spaCy supports simple lookup-based lemmatization. This is
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| As of v2.0, spaCy supports simple lookup-based lemmatization. This is
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@ -105,7 +105,7 @@ p
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p
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p
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| All built-in pipeline components are now subclasses of
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| All built-in pipeline components are now subclasses of
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| #[+api("pipe") #[code Pipe]] are fully trainable and serializable,
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| #[+api("pipe") #[code Pipe]], fully trainable and serializable,
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| and follow the same API. Instead of updating the model and telling
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| and follow the same API. Instead of updating the model and telling
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| spaCy when to #[em stop], you can now explicitly call
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| spaCy when to #[em stop], you can now explicitly call
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| #[+api("language#begin_training") #[code begin_taining]], which
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| #[+api("language#begin_training") #[code begin_taining]], which
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