Lithuanian analyzer
The built-in lithuanian analyzer can be applied to a text field using the following command:
PUT /lithuanian-index
{
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "lithuanian"
}
}
}
}
Stem exclusion
You can use stem_exclusion with this language analyzer using the following command:
PUT index_with_stem_exclusion_lithuanian_analyzer
{
"settings": {
"analysis": {
"analyzer": {
"stem_exclusion_lithuanian_analyzer": {
"type": "lithuanian",
"stem_exclusion": ["autoritetas", "patvirtinimas"]
}
}
}
}
}
Lithuanian analyzer internals
The lithuanian analyzer is built using the following components:
-
Tokenizer:
standard -
Token filters:
- lowercase
- stop (Lithuanian)
- keyword
- stemmer (Lithuanian)
Custom Lithuanian analyzer
You can create a custom Lithuanian analyzer using the following command:
PUT /lithuanian-index
{
"settings": {
"analysis": {
"filter": {
"lithuanian_stop": {
"type": "stop",
"stopwords": "_lithuanian_"
},
"lithuanian_stemmer": {
"type": "stemmer",
"language": "lithuanian"
},
"lithuanian_keywords": {
"type": "keyword_marker",
"keywords": []
}
},
"analyzer": {
"lithuanian_analyzer": {
"type": "custom",
"tokenizer": "standard",
"filter": [
"lowercase",
"lithuanian_stop",
"lithuanian_keywords",
"lithuanian_stemmer"
]
}
}
}
},
"mappings": {
"properties": {
"content": {
"type": "text",
"analyzer": "lithuanian_analyzer"
}
}
}
}
Generated tokens
Use the following request to examine the tokens generated using the analyzer:
POST /lithuanian-index/_analyze
{
"field": "content",
"text": "Studentai mokosi Lietuvos universitetuose. Jų numeriai yra 123456."
}
The response contains the generated tokens:
{
"tokens": [
{"token": "student","start_offset": 0,"end_offset": 9,"type": "<ALPHANUM>","position": 0},
{"token": "mok","start_offset": 10,"end_offset": 16,"type": "<ALPHANUM>","position": 1},
{"token": "lietuv","start_offset": 17,"end_offset": 25,"type": "<ALPHANUM>","position": 2},
{"token": "universitet","start_offset": 26,"end_offset": 41,"type": "<ALPHANUM>","position": 3},
{"token": "num","start_offset": 46,"end_offset": 54,"type": "<ALPHANUM>","position": 5},
{"token": "123456","start_offset": 59,"end_offset": 65,"type": "<NUM>","position": 7}
]
}