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