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74 lines
1.7 KiB
Markdown
74 lines
1.7 KiB
Markdown
---
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navigation_title: "Standard"
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mapped_pages:
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-standard-tokenizer.html
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---
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# Standard tokenizer [analysis-standard-tokenizer]
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The `standard` tokenizer provides grammar based tokenization (based on the Unicode Text Segmentation algorithm, as specified in [Unicode Standard Annex #29](https://unicode.org/reports/tr29/)) and works well for most languages.
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## Example output [_example_output_16]
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```console
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POST _analyze
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{
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"tokenizer": "standard",
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"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
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}
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```
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The above sentence would produce the following terms:
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```text
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[ The, 2, QUICK, Brown, Foxes, jumped, over, the, lazy, dog's, bone ]
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```
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## Configuration [_configuration_19]
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The `standard` tokenizer accepts the following parameters:
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`max_token_length`
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: The maximum token length. If a token is seen that exceeds this length then it is split at `max_token_length` intervals. Defaults to `255`.
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## Example configuration [_example_configuration_13]
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In this example, we configure the `standard` tokenizer to have a `max_token_length` of 5 (for demonstration purposes):
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```console
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PUT my-index-000001
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{
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"settings": {
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"analysis": {
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"analyzer": {
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"my_analyzer": {
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"tokenizer": "my_tokenizer"
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}
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},
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"tokenizer": {
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"my_tokenizer": {
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"type": "standard",
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"max_token_length": 5
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}
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}
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}
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}
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}
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POST my-index-000001/_analyze
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{
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"analyzer": "my_analyzer",
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"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
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}
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```
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The above example produces the following terms:
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```text
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[ The, 2, QUICK, Brown, Foxes, jumpe, d, over, the, lazy, dog's, bone ]
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```
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