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Japanese (kuromoji) Analysis for ElasticSearch
==================================
The Japanese (kuromoji) Analysis plugin integrates Lucene kuromoji analysis module into elasticsearch.
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In order to install the plugin, simply run: `bin/plugin -install elasticsearch/elasticsearch-analysis-kuromoji/1.6.0` .
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| Kuromoji Analysis Plugin | elasticsearch | Release date |
|--------------------------|------------------|:------------:|
| 1.7.0-SNAPSHOT (master) | 0.90.8 -> master | 2013-12-19 |
| 1.6.0 | 0.90.6 -> 0.90.7 | 2013-11-06 |
| 1.5.0 | 0.90.3 -> 0.90.5 | 2013-08-08 |
| 1.4.0 | 0.90.1 -> 0.90.2 | 2013-05-30 |
| 1.3.0 | 0.90.0 | 2013-04-29 |
| 1.2.0 | 0.90.0 | 2013-02-26 |
| 1.1.0 | 0.19.2 -> 0.20 | 2012-11-21 |
| 1.0.0 | 0.19.0 -> 0.19.1 | 2012-04-30 |
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The plugin includes the `kuromoji` analyzer.
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Includes Analyzer, Tokenizer, TokenFilter
----------------------------------------
The plugin includes these analyzer and tokenizer, tokenfilter.
| name | type |
|-------------------------|-------------|
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| kuromoji_iteration_mark | charfilter |
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| kuromoji | analyzer |
| kuromoji_tokenizer | tokenizer |
| kuromoji_baseform | tokenfilter |
| kuromoji_part_of_speech | tokenfilter |
| kuromoji_readingform | tokenfilter |
| kuromoji_stemmer | tokenfilter |
Usage
-----
## Analyzer : kuromoji
An analyzer of type `kuromoji` .
This analyzer is the following tokenizer and tokenfilter combination.
* `kuromoji_tokenizer` : Kuromoji Tokenizer
* `kuromoji_baseform` : Kuromoji BasicFormFilter (TokenFilter)
* `kuromoji_part_of_speech` : Kuromoji Part of Speech Stop Filter (TokenFilter)
* `cjk_width` : CJK Width Filter (TokenFilter)
* `stop` : Stop Filter (TokenFilter)
* `kuromoji_stemmer` : Kuromiji Katakana Stemmer Filter(TokenFilter)
* `lowercase` : LowerCase Filter (TokenFilter)
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## CharFilter : kuromoji_iteration_mark
A charfilter of type `kuromoji_iteration_mark` .
This charfilter is Normalizes Japanese horizontal iteration marks (odoriji) to their expanded form.
The following ar setting that can be set for a `kuromoji_iteration_mark` charfilter type:
| **Setting** | **Description** | **Default value** |
|:----------------|:-------------------------------------------------------------|:------------------|
| normalize_kanji | indicates whether kanji iteration marks should be normalized | `true` |
| normalize_kana | indicates whether kanji iteration marks should be normalized | `true` |
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## Tokenizer : kuromoji_tokenizer
A tokenizer of type `kuromoji_tokenizer` .
The following are settings that can be set for a `kuromoji_tokenizer` tokenizer type:
| **Setting** | **Description** | **Default value** |
|:--------------------|:--------------------------------------------------------------------------------------------------------------------------|:------------------|
| mode | Tokenization mode: this determines how the tokenizer handles compound and unknown words. `normal` and `search` , `extended` | `search` |
| discard_punctuation | `true` if punctuation tokens should be dropped from the output. | `true` |
| user_dict | set User Dictionary file | |
### Tokenization mode
The mode is three types.
* `normal` : Ordinary segmentation: no decomposition for compounds
* `search` : Segmentation geared towards search: this includes a decompounding process for long nouns, also includeing the full compound token as a synonym.
* `extended` : Extended mode outputs unigrams for unknown words.
#### Difference tokenization mode outputs
Input text is `関西国際空港` and `アブラカダブラ` .
| **mode** | `関西国際空港` | `アブラカダブラ` |
|:-----------|:-------------|:-------|
| `normal` | `関西国際空港` | `アブラカダブラ` |
| `search` | `関西` `関西国際空港` `国際` `空港` | `アブラカダブラ` |
| `extended` | `関西` `国際` `空港` | `ア` `ブ` `ラ` `カ` `ダ` `ブ` `ラ` |
### User Dictionary
Kuromoji tokenizer use MecCab-IPADIC dictionary by default.
And Kuromoji is added an entry of dictionary to define by user; this is User Dictionary.
User Dictionary entries are defined using the following CSV format:
```
< text > ,< token 1 > ... < token n > ,< reading 1 > ... < reading n > ,< part-of-speech tag >
```
Dictionary Example
```
東京スカイツリー,東京 スカイツリー,トウキョウ スカイツリー,カスタム名詞
```
To use User Dictionary set file path to `user_dict` attribute.
User Dictionary file is placed `ES_HOME/config` directory.
### example
```
curl -XPUT 'http://localhost:9200/kuromoji_sample/' -d'
{
"index":{
"analysis":{
"tokenizer" : {
"kuromoji_user_dict" : {
"type" : "kuromoji_tokenizer",
"mode" : "extended",
"discard_punctuation" : "false",
"user_dictionary" : "userdict_ja.txt"
}
},
"analyzer" : {
"my_analyzer" : {
"type" : "custom",
"tokenizer" : "kuromoji_user_dict"
}
}
}
}
}
'
curl -XPOST 'http://localhost:9200/kuromoji_sample/_analyze?analyzer=my_analyzer& pretty' -d '東京スカイツリー'
{
"tokens" : [ {
"token" : "東京",
"start_offset" : 0,
"end_offset" : 2,
"type" : "word",
"position" : 1
}, {
"token" : "スカイツリー",
"start_offset" : 2,
"end_offset" : 8,
"type" : "word",
"position" : 2
} ]
}
```
## TokenFilter : kuromoji_baseform
A token filter of type `kuromoji_baseform` that replcaes term text with BaseFormAttribute.
This acts as a lemmatizer for verbs and adjectives.
### example
```
curl -XPUT 'http://localhost:9200/kuromoji_sample/' -d'
{
"index":{
"analysis":{
"analyzer" : {
"my_analyzer" : {
"tokenizer" : "kuromoji_tokenizer",
"filter" : ["kuromoji_baseform"]
}
}
}
}
}
'
curl -XPOST 'http://localhost:9200/kuromoji_sample/_analyze?analyzer=my_analyzer& pretty' -d '飲み'
{
"tokens" : [ {
"token" : "飲む",
"start_offset" : 0,
"end_offset" : 2,
"type" : "word",
"position" : 1
} ]
}
```
## TokenFilter : kuromoji_part_of_speech
A token filter of type `kuromoji_part_of_speech` that removes tokens that match a set of part-of-speech tags.
The following are settings that can be set for a stop token filter type:
| **Setting** | **Description** |
|:------------|:-----------------------------------------------------|
| stoptags | A list of part-of-speech tags that should be removed |
Note that default setting is stoptags.txt include lucene-analyzer-kuromji.jar.
### example
```
curl -XPUT 'http://localhost:9200/kuromoji_sample/' -d'
{
"index":{
"analysis":{
"analyzer" : {
"my_analyzer" : {
"tokenizer" : "kuromoji_tokenizer",
"filter" : ["my_posfilter"]
}
},
"filter" : {
"my_posfilter" : {
"type" : "kuromoji_part_of_speech",
"stoptags" : [
"助詞-格助詞-一般",
"助詞-終助詞"
]
}
}
}
}
}
'
curl -XPOST 'http://localhost:9200/kuromoji_sample/_analyze?analyzer=my_analyzer& pretty' -d '寿司がおいしいね'
{
"tokens" : [ {
"token" : "寿司",
"start_offset" : 0,
"end_offset" : 2,
"type" : "word",
"position" : 1
}, {
"token" : "おいしい",
"start_offset" : 3,
"end_offset" : 7,
"type" : "word",
"position" : 3
} ]
}
```
## TokenFilter : kuromoji_readingform
A token filter of type `kuromoji_readingform` that replaces the term attribute with the reading of a token in either katakana or romaji form.
The default reading form is katakana.
The following are settings that can be set for a `kuromoji_readingform` token filter type:
| **Setting** | **Description** | **Default value** |
|:------------|:----------------------------------------------------------|:------------------|
| use_romaji | `true` if romaji reading form output instead of katakana. | `false` |
Note that elasticsearch-analysis-kuromoji built-in `kuromoji_readingform` set default `ture` to `use_romaji` attribute.
### example
```
curl -XPUT 'http://localhost:9200/kuromoji_sample/' -d'
{
"index":{
"analysis":{
"analyzer" : {
"romaji_analyzer" : {
"tokenizer" : "kuromoji_tokenizer",
"filter" : ["romaji_readingform"]
},
"katakana_analyzer" : {
"tokenizer" : "kuromoji_tokenizer",
"filter" : ["katakana_readingform"]
}
},
"filter" : {
"romaji_readingform" : {
"type" : "kuromoji_readingform",
"use_romaji" : true
},
"katakana_readingform" : {
"type" : "kuromoji_readingform",
"use_romaji" : false
}
}
}
}
}
'
curl -XPOST 'http://localhost:9200/kuromoji_sample/_analyze?analyzer=katakana_analyzer& pretty' -d '寿司'
{
"tokens" : [ {
"token" : "スシ",
"start_offset" : 0,
"end_offset" : 2,
"type" : "word",
"position" : 1
} ]
}
curl -XPOST 'http://localhost:9200/kuromoji_sample/_analyze?analyzer=romaji_analyzer& pretty' -d '寿司'
{
"tokens" : [ {
"token" : "sushi",
"start_offset" : 0,
"end_offset" : 2,
"type" : "word",
"position" : 1
} ]
}
```
## TokenFilter : kuromoji_stemmer
A token filter of type `kuromoji_stemmer` that normalizes common katakana spelling variations ending in a long sound character by removing this character (U+30FC).
Only katakana words longer than a minimum length are stemmed (default is four).
Note that only full-width katakana characters are supported.
The following are settings that can be set for a `kuromoji_stemmer` token filter type:
| **Setting** | **Description** | **Default value** |
|:----------------|:---------------------------|:------------------|
| minimum_length | The minimum length to stem | `4` |
### example
```
curl -XPUT 'http://localhost:9200/kuromoji_sample/' -d'
{
"index":{
"analysis":{
"analyzer" : {
"my_analyzer" : {
"tokenizer" : "kuromoji_tokenizer",
"filter" : ["my_katakana_stemmer"]
}
},
"filter" : {
"my_katakana_stemmer" : {
"type" : "kuromoji_stemmer",
"minimum_length" : 4
}
}
}
}
}
'
curl -XPOST 'http://localhost:9200/kuromoji_sample/_analyze?analyzer=my_analyzer& pretty' -d 'コピー'
{
"tokens" : [ {
"token" : "コピー",
"start_offset" : 0,
"end_offset" : 3,
"type" : "word",
"position" : 1
} ]
}
curl -XPOST 'http://localhost:9200/kuromoji_sample/_analyze?analyzer=my_analyzer& pretty' -d 'サーバー'
{
"tokens" : [ {
"token" : "サーバ",
"start_offset" : 0,
"end_offset" : 4,
"type" : "word",
"position" : 1
} ]
}
```
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License
-------
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This software is licensed under the Apache 2 license, quoted below.
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Copyright 2009-2013 Shay Banon and ElasticSearch < http: / / www . elasticsearch . org >
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Licensed under the Apache License, Version 2.0 (the "License"); you may not
use this file except in compliance with the License. You may obtain a copy of
the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations under
the License.
