github-mirrors/elasticsearch
1
0
Fork 0
mirror of https://github.com/elastic/elasticsearch.git synced 2025-06-28 17:34:17 -04:00
Code Issues Projects Releases Packages Wiki Activity
elasticsearch/docs/reference/data-analysis/text-analysis/analysis-letter-tokenizer.md
Colleen McGinnis b7e3a1e14b
[docs] Migrate docs from AsciiDoc to Markdown (#123507) 
* delete asciidoc files

* add migrated files

* fix errors

* Disable docs tests

* Clarify release notes page titles

* Revert "Clarify release notes page titles"

This reverts commit 8be688648d.

* Comment out edternal URI images

* Clean up query languages landing pages, link to conceptual docs

* Add .md to url

* Fixes inference processor nesting.

---------

Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
Co-authored-by: Liam Thompson <leemthompo@gmail.com>
Co-authored-by: Martijn Laarman <Mpdreamz@gmail.com>
Co-authored-by: István Zoltán Szabó <szabosteve@gmail.com>
2025-02-27 17:56:14 +01:00

837 B
Raw Blame History

navigation_title mapped_pages
Letter
https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-letter-tokenizer.html

Letter tokenizer [analysis-letter-tokenizer]

The letter tokenizer breaks text into terms whenever it encounters a character which is not a letter. It does a reasonable job for most European languages, but does a terrible job for some Asian languages, where words are not separated by spaces.

Example output [_example_output_11]

POST _analyze
{
  "tokenizer": "letter",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}

The above sentence would produce the following terms:

[ The, QUICK, Brown, Foxes, jumped, over, the, lazy, dog, s, bone ]

Configuration [_configuration_12]

The letter tokenizer is not configurable.