anchor.diff:  
       +item
           |  For words whose POS is not set by a prior process, a
  -        |  #[strong mapping table] #[code TAG_MAP] maps the tags to a
  -        |  part-of-speech and a set of morphological features.
  +        |  #[+a("/docs/usage/adding-languages#tag-map") mapping table]
  +        |  #[code TAG_MAP] maps the tags to a part-of-speech and a set of
  +        |  morphological features.
   
       +item
           |  Finally, a #[strong rule-based deterministic lemmatizer] maps the
  
positive.code: 
  +list("numbers")
      +item
          |  The tokenizer consults a #[strong mapping table]
          |  #[code TOKENIZER_EXCEPTIONS], which allows sequences of characters
          |  to be mapped to multiple tokens. Each token may be assigned a part
          |  of speech and one or more morphological features.
  
negative.code:     |  assigned to each token in the document. They're useful in rule-based
      |  processes. They can also be useful features in some statistical models.
  
  +h(2, "101") Part-of-speech tagging 101
      +tag-model("dependency parse")
  
  include _spacy-101/_pos-deps
  
  +aside("Help – spaCy's output is wrong!")
  
  +h(2, "rule-based-morphology") Rule-based morphology
  
  