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Add details on syntax iterators
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@ -42,6 +42,7 @@ p
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+item #[+a("#tokenizer-exceptions") Tokenizer exceptions]
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+item #[+a("#norm-exceptions") Norm exceptions]
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+item #[+a("#lex-attrs") Lexical attributes]
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+item #[+a("#syntax-iterators") Syntax iterators]
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+item #[+a("#lemmatizer") Lemmatizer]
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+item #[+a("#tag-map") Tag map]
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+item #[+a("#morph-rules") Morph rules]
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@ -104,6 +105,13 @@ p
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+cell dict
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+cell Attribute ID mapped to function.
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+row
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+cell #[code SYNTAX_ITERATORS]
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+cell dict
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+cell
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| Iterator ID mapped to function. Currently only supports
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| #[code 'noun_chunks'].
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+row
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+cell #[code LOOKUP]
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+cell dict
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@ -449,6 +457,33 @@ p
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| #[code lex_attr_getters.update(LEX_ATTRS)], only the new custom functions
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| are overwritten.
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+h(3, "syntax-iterators") Syntax iterators
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p
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| Syntax iterators are functions that compute views of a #[code Doc]
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| object based on its syntax. At the moment, this data is only used for
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| extracting
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| #[+a("/docs/usage/dependency-parse#noun-chunks") noun chunks], which
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| are available as the #[+api("doc#noun_chunks") #[code Doc.noun_chunks]]
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| property. Because base noun phrases work differently across languages,
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| the rules to compute them are part of the individual language's data. If
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| a language does not include a noun chunks iterator, the property won't
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| be available. For examples, see the existing syntax iterators:
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+aside-code("Noun chunks example").
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doc = nlp(u'A phrase with another phrase occurs.')
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chunks = list(doc.noun_chunks)
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assert chunks[0].text == "A phrase"
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assert chunks[1].text == "another phrase"
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+table(["Language", "Source"])
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for lang, lang_id in {en: "English", de: "German", es: "Spanish"}
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+row
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+cell=lang
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+cell
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+src(gh("spaCy", "spacy/lang/" + lang_id + "/syntax_iterators.py"))
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| lang/#{lang_id}/syntax_iterators.py
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+h(3, "lemmatizer") Lemmatizer
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p
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