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| all personal pronouns.
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+ h(3 , "norm-exceptions" ) Norm exceptions
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+ + tag-new(2 )
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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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+ h(3 , "lex-attrs" ) Lexical attributes
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+ + tag-new(2 )
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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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+ h(3 , "lemmatizer" ) Lemmatizer
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+ + tag-new(2 )
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| As of v2.0, spaCy supports simple lookup-based lemmatization. This is
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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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| 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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