anchor.diff:  
     A term is an exact value that is indexed in Elasticsearch. The terms
     `foo`, `Foo`, `FOO` are NOT equivalent. Terms (i.e. exact values) can
  -  be searched for using _term_ queries. +
  -   See also <<glossary-text,text>> and <<glossary-analysis,analysis>>.
  +  be searched for using _term_ queries.
  +  +
  +  See also <<glossary-text,text>> and <<glossary-analysis,analysis>>.
   
   [[glossary-text]] text ::
   
  
positive.code:   index is created.
    +
    See also <<glossary-routing,routing>>
  
   [[glossary-replica-shard]] replica shard ::
  
  
negative.code:   `object`. The mapping also allows you to define (amongst other things)
    how the value for a field should be analyzed.
  
  [[glossary-filter]] filter ::
  
    A filter is a non-scoring <<glossary-query,query>>, meaning that it does not score documents.
    It is only concerned about answering the question - "Does this document match?". 
    The answer is always a simple, binary yes or no. This kind of query is said to be made 
    in a <<query-filter-context,filter context>>, 
    hence it is called a filter. Filters are simple checks for set inclusion or exclusion. 
    In most cases, the goal of filtering is to reduce the number of documents that have to be examined.
  
  [[glossary-index]] index ::
  
    An index is like a _table_ in a relational database. It has a
  