Add snowball token filter docs #8276

_analyzers/token-filters/index.md

@@ -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.

_analyzers/token-filters/snowball.md

@@ -0,0 +1,108 @@
+---
+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
+    }
+  ]
+}
+```