Hindi analyzer
The built-in hindi analyzer can be applied to a text field using the following command:
PUT /hindi-index
{
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "hindi"
}
}
}
}
Stem exclusion
You can use stem_exclusion with this language analyzer using the following command:
PUT index_with_stem_exclusion_hindi_analyzer
{
"settings": {
"analysis": {
"analyzer": {
"stem_exclusion_hindi_analyzer": {
"type": "hindi",
"stem_exclusion": ["अधिकार", "अनुमोदन"]
}
}
}
}
}
Hindi analyzer internals
The hindi analyzer is built using the following components:
-
Tokenizer:
standard -
Token filters:
- lowercase
- decimal_digit
- keyword
- normalization (indic)
- normalization (Hindi)
- stop (Hindi)
- stemmer (Hindi)
Custom Hindi analyzer
You can create a custom Hindi analyzer using the following command:
PUT /hindi-index
{
"settings": {
"analysis": {
"filter": {
"hindi_stop": {
"type": "stop",
"stopwords": "_hindi_"
},
"hindi_stemmer": {
"type": "stemmer",
"language": "hindi"
},
"hindi_keywords": {
"type": "keyword_marker",
"keywords": []
}
},
"analyzer": {
"hindi_analyzer": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"decimal_digit",
"hindi_keywords",
"indic_normalization",
"hindi_normalization",
"hindi_stop",
"hindi_stemmer"
]
}
}
}
},
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "hindi_analyzer"
}
}
}
}
Generated tokens
Use the following request to examine the tokens generated using the analyzer:
POST /hindi-index/_analyze
{
"field": "content",
"text": "छात्र भारतीय विश्वविद्यालयों में पढ़ते हैं। उनके नंबर १२३४५६ हैं।"
}
The response contains the generated tokens:
{
"tokens": [
{
"token": "छातर",
"start_offset": 0,
"end_offset": 5,
"type": "<ALPHANUM>",
"position": 0
},
{
"token": "भारतिय",
"start_offset": 6,
"end_offset": 12,
"type": "<ALPHANUM>",
"position": 1
},
{
"token": "विशवविदयालय",
"start_offset": 13,
"end_offset": 28,
"type": "<ALPHANUM>",
"position": 2
},
{
"token": "पढ",
"start_offset": 33,
"end_offset": 38,
"type": "<ALPHANUM>",
"position": 4
},
{
"token": "नंबर",
"start_offset": 49,
"end_offset": 53,
"type": "<ALPHANUM>",
"position": 7
},
{
"token": "123456",
"start_offset": 54,
"end_offset": 60,
"type": "<NUM>",
"position": 8
}
]
}