IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.
« nori analyzer nori_part_of_speech token filter »
Elastic Docs ›Elasticsearch Plugins and Integrations [8.15] ›Analysis plugins ›Korean (nori) analysis plugin

nori_tokenizer

edit

nori_tokenizer

edit

The nori_tokenizer accepts the following settings:

decompound_mode

The decompound mode determines how the tokenizer handles compound tokens. It can be set to:

none

No decomposition for compounds. Example output: 

가거도항
가곡역
discard

Decomposes compounds and discards the original form (default). Example output: 

가곡역 => 가곡, 역
mixed

Decomposes compounds and keeps the original form. Example output: 

가곡역 => 가곡역, 가곡, 역
discard_punctuation
Whether punctuation should be discarded from the output. Defaults to true.
user_dictionary

The Nori tokenizer uses the mecab-ko-dic dictionary by default. A user_dictionary with custom nouns (NNG) may be appended to the default dictionary. The dictionary should have the following format:

<token> [<token 1> ... <token n>]

The first token is mandatory and represents the custom noun that should be added in the dictionary. For compound nouns the custom segmentation can be provided after the first token ([<token 1> ... <token n>]). The segmentation of the custom compound nouns is controlled by the decompound_mode setting.

As a demonstration of how the user dictionary can be used, save the following dictionary to $ES_HOME/config/userdict_ko.txt:

c++                 
C쁠쁠
세종
세종시 세종 시

A simple noun

A compound noun (세종시) followed by its decomposition: 세종 and 시.

Then create an analyzer as follows:

PUT nori_sample
{
  "settings": {
    "index": {
      "analysis": {
        "tokenizer": {
          "nori_user_dict": {
            "type": "nori_tokenizer",
            "decompound_mode": "mixed",
            "discard_punctuation": "false",
            "user_dictionary": "userdict_ko.txt"
          }
        },
        "analyzer": {
          "my_analyzer": {
            "type": "custom",
            "tokenizer": "nori_user_dict"
          }
        }
      }
    }
  }
}

GET nori_sample/_analyze
{
  "analyzer": "my_analyzer",
  "text": "세종시"  
}

Sejong city

The above analyze request returns the following:

{
  "tokens" : [ {
    "token" : "세종시",
    "start_offset" : 0,
    "end_offset" : 3,
    "type" : "word",
    "position" : 0,
    "positionLength" : 2    
  }, {
    "token" : "세종",
    "start_offset" : 0,
    "end_offset" : 2,
    "type" : "word",
    "position" : 0
  }, {
    "token" : "시",
    "start_offset" : 2,
    "end_offset" : 3,
    "type" : "word",
    "position" : 1
   }]
}

This is a compound token that spans two positions (mixed mode).
user_dictionary_rules

You can also inline the rules directly in the tokenizer definition using the user_dictionary_rules option:

PUT nori_sample
{
  "settings": {
    "index": {
      "analysis": {
        "tokenizer": {
          "nori_user_dict": {
            "type": "nori_tokenizer",
            "decompound_mode": "mixed",
            "user_dictionary_rules": ["c++", "C쁠쁠", "세종", "세종시 세종 시"]
          }
        },
        "analyzer": {
          "my_analyzer": {
            "type": "custom",
            "tokenizer": "nori_user_dict"
          }
        }
      }
    }
  }
}

The nori_tokenizer sets a number of additional attributes per token that are used by token filters to modify the stream. You can view all these additional attributes with the following request:

GET _analyze
{
  "tokenizer": "nori_tokenizer",
  "text": "뿌리가 깊은 나무는",   
  "attributes" : ["posType", "leftPOS", "rightPOS", "morphemes", "reading"],
  "explain": true
}

A tree with deep roots

Which responds with:

{
  "detail": {
    "custom_analyzer": true,
    "charfilters": [],
    "tokenizer": {
      "name": "nori_tokenizer",
      "tokens": [
        {
          "token": "뿌리",
          "start_offset": 0,
          "end_offset": 2,
          "type": "word",
          "position": 0,
          "leftPOS": "NNG(General Noun)",
          "morphemes": null,
          "posType": "MORPHEME",
          "reading": null,
          "rightPOS": "NNG(General Noun)"
        },
        {
          "token": "가",
          "start_offset": 2,
          "end_offset": 3,
          "type": "word",
          "position": 1,
          "leftPOS": "J(Ending Particle)",
          "morphemes": null,
          "posType": "MORPHEME",
          "reading": null,
          "rightPOS": "J(Ending Particle)"
        },
        {
          "token": "깊",
          "start_offset": 4,
          "end_offset": 5,
          "type": "word",
          "position": 2,
          "leftPOS": "VA(Adjective)",
          "morphemes": null,
          "posType": "MORPHEME",
          "reading": null,
          "rightPOS": "VA(Adjective)"
        },
        {
          "token": "은",
          "start_offset": 5,
          "end_offset": 6,
          "type": "word",
          "position": 3,
          "leftPOS": "E(Verbal endings)",
          "morphemes": null,
          "posType": "MORPHEME",
          "reading": null,
          "rightPOS": "E(Verbal endings)"
        },
        {
          "token": "나무",
          "start_offset": 7,
          "end_offset": 9,
          "type": "word",
          "position": 4,
          "leftPOS": "NNG(General Noun)",
          "morphemes": null,
          "posType": "MORPHEME",
          "reading": null,
          "rightPOS": "NNG(General Noun)"
        },
        {
          "token": "는",
          "start_offset": 9,
          "end_offset": 10,
          "type": "word",
          "position": 5,
          "leftPOS": "J(Ending Particle)",
          "morphemes": null,
          "posType": "MORPHEME",
          "reading": null,
          "rightPOS": "J(Ending Particle)"
        }
      ]
    },
    "tokenfilters": []
  }
}
« nori analyzer nori_part_of_speech token filter »