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adding language analyzers (#8591) (#8757)
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opensearch-trigger-bot[bot] authored Nov 14, 2024
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44 changes: 0 additions & 44 deletions _analyzers/language-analyzers.md

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182 changes: 182 additions & 0 deletions _analyzers/language-analyzers/arabic.md
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---
layout: default
title: Arabic
parent: Language analyzers
grand_parent: Analyzers
nav_order: 10
---

# Arabic analyzer

The built-in `arabic` analyzer can be applied to a text field using the following command:

```json
PUT /arabic-index
{
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "arabic"
}
}
}
}
```
{% include copy-curl.html %}

## Stem exclusion

You can use `stem_exclusion` with this language analyzer using the following command:

```json
PUT index_with_stem_exclusion_arabic
{
"settings": {
"analysis": {
"analyzer": {
"stem_exclusion_arabic_analyzer":{
"type":"arabic",
"stem_exclusion":["تكنولوجيا","سلطة "]
}
}
}
}
}
```
{% include copy-curl.html %}

## Arabic analyzer internals

The `arabic` analyzer is built using the following components:

- Tokenizer: `standard`

- Token filters:
- lowercase
- decimal_digit
- stop (Arabic)
- normalization (Arabic)
- keyword
- stemmer (Arabic)

## Custom Arabic analyzer

You can create a custom Arabic analyzer using the following command:

```json
PUT /arabic-index
{
"settings": {
"analysis": {
"filter": {
"arabic_stop": {
"type": "stop",
"stopwords": "_arabic_"
},
"arabic_stemmer": {
"type": "stemmer",
"language": "arabic"
},
"arabic_normalization": {
"type": "arabic_normalization"
},
"decimal_digit": {
"type": "decimal_digit"
},
"arabic_keywords": {
"type": "keyword_marker",
"keywords": []
}
},
"analyzer": {
"arabic_analyzer": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"arabic_normalization",
"decimal_digit",
"arabic_stop",
"arabic_keywords",
"arabic_stemmer"
]
}
}
}
},
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "arabic_analyzer"
}
}
}
}
```
{% include copy-curl.html %}

## Generated tokens

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

```json
POST /arabic-index/_analyze
{
"field": "content",
"text": "الطلاب يدرسون في الجامعات العربية. أرقامهم ١٢٣٤٥٦."
}
```
{% include copy-curl.html %}

The response contains the generated tokens:

```json
{
"tokens": [
{
"token": "طلاب",
"start_offset": 0,
"end_offset": 6,
"type": "<ALPHANUM>",
"position": 0
},
{
"token": "يدرس",
"start_offset": 7,
"end_offset": 13,
"type": "<ALPHANUM>",
"position": 1
},
{
"token": "جامع",
"start_offset": 17,
"end_offset": 25,
"type": "<ALPHANUM>",
"position": 3
},
{
"token": "عرب",
"start_offset": 26,
"end_offset": 33,
"type": "<ALPHANUM>",
"position": 4
},
{
"token": "ارقامهم",
"start_offset": 35,
"end_offset": 42,
"type": "<ALPHANUM>",
"position": 5
},
{
"token": "123456",
"start_offset": 43,
"end_offset": 49,
"type": "<NUM>",
"position": 6
}
]
}
```
137 changes: 137 additions & 0 deletions _analyzers/language-analyzers/armenian.md
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---
layout: default
title: Armenian
parent: Language analyzers
grand_parent: Analyzers
nav_order: 20
---

# Armenian analyzer

The built-in `armenian` analyzer can be applied to a text field using the following command:

```json
PUT /arabic-index
{
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "armenian"
}
}
}
}
```
{% include copy-curl.html %}

## Stem exclusion

You can use `stem_exclusion` with this language analyzer using the following command:

```json
PUT index_with_stem_exclusion_armenian_analyzer
{
"settings": {
"analysis": {
"analyzer": {
"stem_exclusion_armenian_analyzer": {
"type": "armenian",
"stem_exclusion": ["բարև", "խաղաղություն"]
}
}
}
}
}
```
{% include copy-curl.html %}

## Armenian analyzer internals

The `armenian` analyzer is built using the following components:

- Tokenizer: `standard`

- Token filters:
- lowercase
- stop (Armenian)
- keyword
- stemmer (Armenian)

## Custom Armenian analyzer

You can create a custom Armenian analyzer using the following command:

```json
PUT /armenian-index
{
"settings": {
"analysis": {
"filter": {
"armenian_stop": {
"type": "stop",
"stopwords": "_armenian_"
},
"armenian_stemmer": {
"type": "stemmer",
"language": "armenian"
},
"armenian_keywords": {
"type": "keyword_marker",
"keywords": []
}
},
"analyzer": {
"armenian_analyzer": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"armenian_stop",
"armenian_keywords",
"armenian_stemmer"
]
}
}
}
},
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "armenian_analyzer"
}
}
}
}
```
{% include copy-curl.html %}

## Generated tokens

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

```json
GET armenian-index/_analyze
{
"analyzer": "stem_exclusion_armenian_analyzer",
"text": "բարև բոլորին, մենք խաղաղություն ենք ուզում և նոր օր ենք սկսել"
}
```
{% include copy-curl.html %}

The response contains the generated tokens:

```json
{
"tokens": [
{"token": "բարև","start_offset": 0,"end_offset": 4,"type": "<ALPHANUM>","position": 0},
{"token": "բոլոր","start_offset": 5,"end_offset": 12,"type": "<ALPHANUM>","position": 1},
{"token": "խաղաղություն","start_offset": 19,"end_offset": 31,"type": "<ALPHANUM>","position": 3},
{"token": "ուզ","start_offset": 36,"end_offset": 42,"type": "<ALPHANUM>","position": 5},
{"token": "նոր","start_offset": 45,"end_offset": 48,"type": "<ALPHANUM>","position": 7},
{"token": "օր","start_offset": 49,"end_offset": 51,"type": "<ALPHANUM>","position": 8},
{"token": "սկսել","start_offset": 56,"end_offset": 61,"type": "<ALPHANUM>","position": 10}
]
}
```
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