[DOCS] Reformat `keyword_marker` token filter (#54076)
Makes the following changes to the `keyword_marker` token filter docs: * Rewrites description and adds Lucene link * Adds detailed analyze example * Rewrites parameter definitions * Adds custom analyzer and filter example
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@ -4,137 +4,385 @@
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<titleabbrev>Keyword marker</titleabbrev>
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++++
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Protects words from being modified by stemmers. Must be placed before
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any stemming filters.
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Marks specified tokens as keywords, which are not stemmed.
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[cols="<,<",options="header",]
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|=======================================================================
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|Setting |Description
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|`keywords` |A list of words to use.
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The `keyword_marker` assigns specified tokens a `keyword` attribute of `true`.
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Stemmer token filters, such as <<analysis-stemmer-tokenfilter,`stemmer`>> or
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<<analysis-porterstem-tokenfilter,`porter_stem`>>, skip tokens with a `keyword`
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attribute of `true`.
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|`keywords_path` |A path (either relative to `config` location, or
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absolute) to a list of words.
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[IMPORTANT]
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====
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To work properly, the `keyword_marker` filter must be listed before any stemmer
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token filters in the <<analysis-custom-analyzer,analyzer configuration>>.
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====
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|`keywords_pattern` |A regular expression pattern to match against words
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in the text.
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The `keyword_marker` filter uses Lucene's
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{lucene-analysis-docs}/miscellaneous/KeywordMarkerFilter.html[KeywordMarkerFilter].
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|`ignore_case` |Set to `true` to lower case all words first. Defaults to
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`false`.
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|=======================================================================
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[[analysis-keyword-marker-tokenfilter-analyze-ex]]
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==== Example
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You can configure it like:
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To see how the `keyword_marker` filter works, you first need to produce a token
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stream containing stemmed tokens.
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The following <<indices-analyze,analyze API>> request uses the
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<<analysis-stemmer-tokenfilter,`stemmer`>> filter to create stemmed tokens for
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`fox running and jumping`.
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[source,console]
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--------------------------------------------------
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PUT /keyword_marker_example
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----
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GET /_analyze
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{
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"tokenizer": "whitespace",
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"filter": [ "stemmer" ],
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"text": "fox running and jumping"
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}
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----
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The request produces the following tokens. Note that `running` was stemmed to
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`run` and `jumping` was stemmed to `jump`.
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[source,text]
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----
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[ fox, run, and, jump ]
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----
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////
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[source,console-result]
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----
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{
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"tokens": [
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{
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"token": "fox",
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"start_offset": 0,
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"end_offset": 3,
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"type": "word",
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"position": 0
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},
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{
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"token": "run",
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"start_offset": 4,
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"end_offset": 11,
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"type": "word",
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"position": 1
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},
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{
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"token": "and",
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"start_offset": 12,
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"end_offset": 15,
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"type": "word",
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"position": 2
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},
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{
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"token": "jump",
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"start_offset": 16,
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"end_offset": 23,
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"type": "word",
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"position": 3
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}
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]
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}
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----
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////
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To prevent `jumping` from being stemmed, add the `keyword_marker` filter before
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the `stemmer` filter in the previous analyze API request. Specify `jumping` in
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the `keywords` parameter of the `keyword_marker` filter.
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[source,console]
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----
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GET /_analyze
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{
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"tokenizer": "whitespace",
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"filter": [
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{
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"type": "keyword_marker",
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"keywords": [ "jumping" ]
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},
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"stemmer"
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],
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"text": "fox running and jumping"
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}
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----
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The request produces the following tokens. `running` is still stemmed to `run`,
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but `jumping` is not stemmed.
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[source,text]
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----
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[ fox, run, and, jumping ]
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----
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////
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[source,console-result]
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----
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{
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"tokens": [
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{
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"token": "fox",
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"start_offset": 0,
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"end_offset": 3,
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"type": "word",
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"position": 0
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},
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{
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"token": "run",
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"start_offset": 4,
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"end_offset": 11,
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"type": "word",
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"position": 1
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},
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{
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"token": "and",
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"start_offset": 12,
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"end_offset": 15,
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"type": "word",
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"position": 2
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},
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{
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"token": "jumping",
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"start_offset": 16,
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"end_offset": 23,
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"type": "word",
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"position": 3
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}
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]
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}
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----
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////
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To see the `keyword` attribute for these tokens, add the following arguments to
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the analyze API request:
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* `explain`: `true`
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* `attributes`: `keyword`
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[source,console]
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----
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GET /_analyze
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{
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"tokenizer": "whitespace",
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"filter": [
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{
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"type": "keyword_marker",
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"keywords": [ "jumping" ]
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},
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"stemmer"
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],
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"text": "fox running and jumping",
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"explain": true,
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"attributes": "keyword"
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}
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----
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The API returns the following response. Note the `jumping` token has a
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`keyword` attribute of `true`.
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[source,console-result]
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----
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{
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"detail": {
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"custom_analyzer": true,
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"charfilters": [],
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"tokenizer": {
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"name": "whitespace",
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"tokens": [
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{
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"token": "fox",
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"start_offset": 0,
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"end_offset": 3,
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"type": "word",
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"position": 0
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},
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{
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"token": "running",
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"start_offset": 4,
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"end_offset": 11,
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"type": "word",
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"position": 1
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},
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{
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"token": "and",
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"start_offset": 12,
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"end_offset": 15,
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"type": "word",
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"position": 2
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},
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{
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"token": "jumping",
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"start_offset": 16,
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"end_offset": 23,
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"type": "word",
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"position": 3
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}
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]
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},
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"tokenfilters": [
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{
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"name": "__anonymous__keyword_marker",
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"tokens": [
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{
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"token": "fox",
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"start_offset": 0,
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"end_offset": 3,
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"type": "word",
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"position": 0,
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"keyword": false
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},
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{
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"token": "running",
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"start_offset": 4,
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"end_offset": 11,
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"type": "word",
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"position": 1,
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"keyword": false
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},
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{
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"token": "and",
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"start_offset": 12,
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"end_offset": 15,
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"type": "word",
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"position": 2,
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"keyword": false
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},
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{
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"token": "jumping",
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"start_offset": 16,
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"end_offset": 23,
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"type": "word",
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"position": 3,
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"keyword": true
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}
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]
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},
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{
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"name": "stemmer",
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"tokens": [
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{
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"token": "fox",
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"start_offset": 0,
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"end_offset": 3,
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"type": "word",
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"position": 0,
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"keyword": false
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},
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{
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"token": "run",
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"start_offset": 4,
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"end_offset": 11,
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"type": "word",
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"position": 1,
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"keyword": false
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},
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{
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"token": "and",
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"start_offset": 12,
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"end_offset": 15,
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"type": "word",
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"position": 2,
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"keyword": false
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},
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{
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"token": "jumping",
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"start_offset": 16,
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"end_offset": 23,
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"type": "word",
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"position": 3,
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"keyword": true
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}
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]
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}
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]
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}
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}
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----
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[[analysis-keyword-marker-tokenfilter-configure-parms]]
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==== Configurable parameters
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`ignore_case`::
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(Optional, boolean)
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If `true`, matching for the `keywords` and `keywords_path` parameters ignores
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letter case. Defaults to `false`.
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`keywords`::
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(Required*, array of strings)
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Array of keywords. Tokens that match these keywords are not stemmed.
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+
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This parameter, `keywords_path`, or `keywords_pattern` must be specified.
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You cannot specify this parameter and `keywords_pattern`.
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`keywords_path`::
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+
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--
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(Required*, array of strings)
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Path to a file that contains a list of keywords. Tokens that match these
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keywords are not stemmed.
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This path must be absolute or relative to the `config` location, and the file
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must be UTF-8 encoded. Each word in the file must be separated by a line break.
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This parameter, `keywords`, or `keywords_pattern` must be specified.
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You cannot specify this parameter and `keywords_pattern`.
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--
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`keywords_pattern`::
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+
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--
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(Required*, string)
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http://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html[Java
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regular expression] used to match tokens. Tokens that match this expression are
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marked as keywords and not stemmed.
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This parameter, `keywords`, or `keywords_path` must be specified. You
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cannot specify this parameter and `keywords` or `keywords_pattern`.
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[WARNING]
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====
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Poorly written regular expressions can cause {es} to run slowly or result
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in stack overflow errors, causing the running node to suddenly exit.
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====
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--
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[[analysis-keyword-marker-tokenfilter-customize]]
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==== Customize and add to an analyzer
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To customize the `keyword_marker` filter, duplicate it to create the basis for a
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new custom token filter. You can modify the filter using its configurable
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parameters.
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For example, the following <<indices-create-index,create index API>> request
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uses a custom `keyword_marker` filter and the `porter_stem`
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filter to configure a new <<analysis-custom-analyzer,custom analyzer>>.
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The custom `keyword_marker` filter marks tokens specified in the
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`analysis/example_word_list.txt` file as keywords. The `porter_stem` filter does
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not stem these tokens.
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[source,console]
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----
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PUT /my_index
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{
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"settings": {
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"analysis": {
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"analyzer": {
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"protect_cats": {
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"my_custom_analyzer": {
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"type": "custom",
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"tokenizer": "standard",
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"filter": ["lowercase", "protect_cats", "porter_stem"]
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},
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"normal": {
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"type": "custom",
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"tokenizer": "standard",
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"filter": ["lowercase", "porter_stem"]
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"filter": [
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"my_custom_keyword_marker_filter",
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"porter_stem"
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]
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}
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},
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"filter": {
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"protect_cats": {
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"my_custom_keyword_marker_filter": {
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"type": "keyword_marker",
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"keywords": ["cats"]
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"keywords": "analysis/example_word_list.txt"
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}
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}
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}
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}
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}
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--------------------------------------------------
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And test it with:
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[source,console]
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--------------------------------------------------
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POST /keyword_marker_example/_analyze
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{
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"analyzer" : "protect_cats",
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"text" : "I like cats"
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}
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--------------------------------------------------
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// TEST[continued]
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And it'd respond:
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[source,console-result]
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--------------------------------------------------
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{
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"tokens": [
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{
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"token": "i",
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"start_offset": 0,
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"end_offset": 1,
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"type": "<ALPHANUM>",
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"position": 0
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},
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{
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"token": "like",
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"start_offset": 2,
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"end_offset": 6,
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"type": "<ALPHANUM>",
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"position": 1
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},
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{
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"token": "cats",
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"start_offset": 7,
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"end_offset": 11,
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"type": "<ALPHANUM>",
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"position": 2
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}
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]
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}
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--------------------------------------------------
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As compared to the `normal` analyzer which has `cats` stemmed to `cat`:
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[source,console]
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--------------------------------------------------
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POST /keyword_marker_example/_analyze
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{
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"analyzer" : "normal",
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"text" : "I like cats"
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}
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--------------------------------------------------
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// TEST[continued]
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Response:
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[source,console-result]
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--------------------------------------------------
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{
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"tokens": [
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{
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"token": "i",
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"start_offset": 0,
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"end_offset": 1,
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"type": "<ALPHANUM>",
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"position": 0
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},
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{
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"token": "like",
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"start_offset": 2,
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"end_offset": 6,
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"type": "<ALPHANUM>",
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"position": 1
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},
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{
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"token": "cat",
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"start_offset": 7,
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"end_offset": 11,
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"type": "<ALPHANUM>",
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"position": 2
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}
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]
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}
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--------------------------------------------------
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----
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