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Add snowball token filter docs #8276 (#8399) (#8846)
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2 changes: 1 addition & 1 deletion _analyzers/token-filters/index.md
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Expand Up @@ -53,7 +53,7 @@ Token filter | Underlying Lucene token filter| Description
[`remove_duplicates`]({{site.url}}{{site.baseurl}}/analyzers/token-filters/remove-duplicates/) | [RemoveDuplicatesTokenFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/miscellaneous/RemoveDuplicatesTokenFilter.html) | Removes duplicate tokens that are in the same position.
[`reverse`]({{site.url}}{{site.baseurl}}/analyzers/token-filters/reverse/) | [ReverseStringFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/reverse/ReverseStringFilter.html) | Reverses the string corresponding to each token in the token stream. For example, the token `dog` becomes `god`.
[`shingle`]({{site.url}}{{site.baseurl}}/analyzers/token-filters/shingle/) | [ShingleFilter](https://lucene.apache.org/core/9_10_0/analysis/common/org/apache/lucene/analysis/shingle/ShingleFilter.html) | Generates shingles of lengths between `min_shingle_size` and `max_shingle_size` for tokens in the token stream. Shingles are similar to n-grams but are generated using words instead of letters. For example, two-word shingles added to the list of unigrams [`contribute`, `to`, `opensearch`] are [`contribute to`, `to opensearch`].
`snowball` | N/A | Stems words using a [Snowball-generated stemmer](https://snowballstem.org/). You can use the `snowball` token filter with the following languages in the `language` field: `Arabic`, `Armenian`, `Basque`, `Catalan`, `Danish`, `Dutch`, `English`, `Estonian`, `Finnish`, `French`, `German`, `German2`, `Hungarian`, `Irish`, `Italian`, `Kp`, `Lithuanian`, `Lovins`, `Norwegian`, `Porter`, `Portuguese`, `Romanian`, `Russian`, `Spanish`, `Swedish`, `Turkish`.
[`snowball`]({{site.url}}{{site.baseurl}}/analyzers/token-filters/snowball/) | N/A | Stems words using a [Snowball-generated stemmer](https://snowballstem.org/). The `snowball` token filter supports using the following languages in the `language` field: `Arabic`, `Armenian`, `Basque`, `Catalan`, `Danish`, `Dutch`, `English`, `Estonian`, `Finnish`, `French`, `German`, `German2`, `Hungarian`, `Irish`, `Italian`, `Kp`, `Lithuanian`, `Lovins`, `Norwegian`, `Porter`, `Portuguese`, `Romanian`, `Russian`, `Spanish`, `Swedish`, `Turkish`.
`stemmer` | N/A | Provides algorithmic stemming for the following languages in the `language` field: `arabic`, `armenian`, `basque`, `bengali`, `brazilian`, `bulgarian`, `catalan`, `czech`, `danish`, `dutch`, `dutch_kp`, `english`, `light_english`, `lovins`, `minimal_english`, `porter2`, `possessive_english`, `estonian`, `finnish`, `light_finnish`, `french`, `light_french`, `minimal_french`, `galician`, `minimal_galician`, `german`, `german2`, `light_german`, `minimal_german`, `greek`, `hindi`, `hungarian`, `light_hungarian`, `indonesian`, `irish`, `italian`, `light_italian`, `latvian`, `Lithuanian`, `norwegian`, `light_norwegian`, `minimal_norwegian`, `light_nynorsk`, `minimal_nynorsk`, `portuguese`, `light_portuguese`, `minimal_portuguese`, `portuguese_rslp`, `romanian`, `russian`, `light_russian`, `sorani`, `spanish`, `light_spanish`, `swedish`, `light_swedish`, `turkish`.
`stemmer_override` | N/A | Overrides stemming algorithms by applying a custom mapping so that the provided terms are not stemmed.
`stop` | [StopFilter](https://lucene.apache.org/core/8_7_0/core/org/apache/lucene/analysis/StopFilter.html) | Removes stop words from a token stream.
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108 changes: 108 additions & 0 deletions _analyzers/token-filters/snowball.md
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---
layout: default
title: Snowball
parent: Token filters
nav_order: 380
---

# Snowball token filter

The `snowball` token filter is a stemming filter based on the [Snowball](https://snowballstem.org/) algorithm. It supports many languages and is more efficient and accurate than the Porter stemming algorithm.

## Parameters

The `snowball` token filter can be configured with a `language` parameter that accepts the following values:

- `Arabic`
- `Armenian`
- `Basque`
- `Catalan`
- `Danish`
- `Dutch`
- `English` (default)
- `Estonian`
- `Finnish`
- `French`
- `German`
- `German2`
- `Hungarian`
- `Italian`
- `Irish`
- `Kp`
- `Lithuanian`
- `Lovins`
- `Norwegian`
- `Porter`
- `Portuguese`
- `Romanian`
- `Russian`
- `Spanish`
- `Swedish`
- `Turkish`

## Example

The following example request creates a new index named `my-snowball-index` and configures an analyzer with a `snowball` filter:

```json
PUT /my-snowball-index
{
"settings": {
"analysis": {
"filter": {
"my_snowball_filter": {
"type": "snowball",
"language": "English"
}
},
"analyzer": {
"my_snowball_analyzer": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"my_snowball_filter"
]
}
}
}
}
}
```
{% include copy-curl.html %}

## Generated tokens

Use the following request to examine the tokens generated using the analyzer:

```json
GET /my-snowball-index/_analyze
{
"analyzer": "my_snowball_analyzer",
"text": "running runners"
}
```
{% include copy-curl.html %}

The response contains the generated tokens:

```json
{
"tokens": [
{
"token": "run",
"start_offset": 0,
"end_offset": 7,
"type": "<ALPHANUM>",
"position": 0
},
{
"token": "runner",
"start_offset": 8,
"end_offset": 15,
"type": "<ALPHANUM>",
"position": 1
}
]
}
```

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