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<h2 class="title"><a id="analysis-letter-tokenizer"></a>Letter Tokenizer<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/6.3/docs/reference/analysis/tokenizers/letter-tokenizer.asciidoc">edit</a></h2>
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<p>The <code class="literal">letter</code> 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.</p>
<h3><a id="_example_output_9"></a>Example output<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/6.3/docs/reference/analysis/tokenizers/letter-tokenizer.asciidoc">edit</a></h3>
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<pre class="programlisting prettyprint lang-console">POST _analyze
{
"tokenizer": "letter",
"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}</pre>
</div>
<div class="console_widget" data-snippet="snippets/1111.console"></div>
<p>The above sentence would produce the following terms:</p>
<div class="pre_wrapper lang-text">
<pre class="programlisting prettyprint lang-text">[ The, QUICK, Brown, Foxes, jumped, over, the, lazy, dog, s, bone ]</pre>
</div>
<h3><a id="_configuration_10"></a>Configuration<a class="edit_me edit_me_private" rel="nofollow" title="Editing on GitHub is available to Elastic" href="https://github.com/elastic/elasticsearch/edit/6.3/docs/reference/analysis/tokenizers/letter-tokenizer.asciidoc">edit</a></h3>
<p>The <code class="literal">letter</code> tokenizer is not configurable.</p>
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