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Using Synonyms
editUsing Synonyms
editSynonyms can replace existing tokens or be added to the token stream by using the
synonym
token filter:
PUT /my_index { "settings": { "analysis": { "filter": { "my_synonym_filter": { "type": "synonym", "synonyms": [ "british,english", "queen,monarch" ] } }, "analyzer": { "my_synonyms": { "tokenizer": "standard", "filter": [ "lowercase", "my_synonym_filter" ] } } } } }
First, we define a token filter of type |
|
We discuss synonym formats in Formatting Synonyms. |
|
Then we create a custom analyzer that uses the |
Synonyms can be specified inline with the synonyms
parameter, or in a
synonyms file that must be present on every node in the cluster. The path to
the synonyms file should be specified with the synonyms_path
parameter, and
should be either absolute or relative to the Elasticsearch config
directory.
See Updating Stopwords for techniques that can be used to refresh the
synonyms list.
Testing our analyzer with the analyze
API shows the following:
GET /my_index/_analyze { "analyzer" : "my_synonyms", "text" : "Elizabeth is the English queen" }
A document like this will match queries for any of the following: English queen
,
British queen
, English monarch
, or British monarch
.
Even a phrase query will work, because the position of
each term has been preserved.
Using the same synonym
token filter at both index time and search time is
redundant. If, at index time, we replace English
with the two terms
english
and british
, then at search time we need to search for only one of
those terms. Alternatively, if we don’t use synonyms at index time, then at
search time, we would need to convert a query for English
into a query for
english OR british
.
Whether to do synonym expansion at search or index time can be a difficult choice. We will explore the options more in Expand or contract.