elasticsearch/docs/reference/text-analysis/analysis-letter-tokenizer.md

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---
navigation_title: "Letter"
mapped_pages:
- 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]
```console
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:
```text
[ The, QUICK, Brown, Foxes, jumped, over, the, lazy, dog, s, bone ]
```
## Configuration [_configuration_12]
The `letter` tokenizer is not configurable.