mirror of
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25aac4f77f
The "include_type_name" parameter was temporarily introduced in #37285 to facilitate moving the default parameter setting to "false" in many places in the documentation code snippets. Most of the places can simply be reverted without causing errors. In this change I looked for asciidoc files that contained the "include_type_name=true" addition when creating new indices but didn't look likey they made use of the "_doc" type for mappings. This is mostly the case e.g. in the analysis docs where index creating often only contains settings. I manually corrected the use of types in some places where the docs still used an explicit type name and not the dummy "_doc" type.
537 lines
13 KiB
Plaintext
537 lines
13 KiB
Plaintext
[[analysis-kuromoji]]
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=== Japanese (kuromoji) Analysis Plugin
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The Japanese (kuromoji) Analysis plugin integrates Lucene kuromoji analysis
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module into elasticsearch.
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:plugin_name: analysis-kuromoji
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include::install_remove.asciidoc[]
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[[analysis-kuromoji-analyzer]]
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==== `kuromoji` analyzer
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The `kuromoji` analyzer consists of the following tokenizer and token filters:
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* <<analysis-kuromoji-tokenizer,`kuromoji_tokenizer`>>
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* <<analysis-kuromoji-baseform,`kuromoji_baseform`>> token filter
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* <<analysis-kuromoji-speech,`kuromoji_part_of_speech`>> token filter
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* {ref}/analysis-cjk-width-tokenfilter.html[`cjk_width`] token filter
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* <<analysis-kuromoji-stop,`ja_stop`>> token filter
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* <<analysis-kuromoji-stemmer,`kuromoji_stemmer`>> token filter
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* {ref}/analysis-lowercase-tokenfilter.html[`lowercase`] token filter
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It supports the `mode` and `user_dictionary` settings from
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<<analysis-kuromoji-tokenizer,`kuromoji_tokenizer`>>.
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[[analysis-kuromoji-charfilter]]
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==== `kuromoji_iteration_mark` character filter
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The `kuromoji_iteration_mark` normalizes Japanese horizontal iteration marks
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(_odoriji_) to their expanded form. It accepts the following settings:
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`normalize_kanji`::
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Indicates whether kanji iteration marks should be normalize. Defaults to `true`.
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`normalize_kana`::
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Indicates whether kana iteration marks should be normalized. Defaults to `true`
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[[analysis-kuromoji-tokenizer]]
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==== `kuromoji_tokenizer`
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The `kuromoji_tokenizer` accepts the following settings:
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`mode`::
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+
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--
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The tokenization mode determines how the tokenizer handles compound and
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unknown words. It can be set to:
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`normal`::
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Normal segmentation, no decomposition for compounds. Example output:
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関西国際空港
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アブラカダブラ
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`search`::
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Segmentation geared towards search. This includes a decompounding process
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for long nouns, also including the full compound token as a synonym.
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Example output:
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関西, 関西国際空港, 国際, 空港
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アブラカダブラ
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`extended`::
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Extended mode outputs unigrams for unknown words. Example output:
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関西, 国際, 空港
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ア, ブ, ラ, カ, ダ, ブ, ラ
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--
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`discard_punctuation`::
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Whether punctuation should be discarded from the output. Defaults to `true`.
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`user_dictionary`::
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+
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--
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The Kuromoji tokenizer uses the MeCab-IPADIC dictionary by default. A `user_dictionary`
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may be appended to the default dictionary. The dictionary should have the following CSV format:
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[source,csv]
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-----------------------
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<text>,<token 1> ... <token n>,<reading 1> ... <reading n>,<part-of-speech tag>
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-----------------------
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--
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As a demonstration of how the user dictionary can be used, save the following
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dictionary to `$ES_HOME/config/userdict_ja.txt`:
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[source,csv]
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-----------------------
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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
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-----------------------
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`nbest_cost`/`nbest_examples`::
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+
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--
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Additional expert user parameters `nbest_cost` and `nbest_examples` can be used
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to include additional tokens that most likely according to the statistical model.
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If both parameters are used, the largest number of both is applied.
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`nbest_cost`::
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The `nbest_cost` parameter specifies an additional Viterbi cost.
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The KuromojiTokenizer will include all tokens in Viterbi paths that are
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within the nbest_cost value of the best path.
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`nbest_examples`::
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The `nbest_examples` can be used to find a `nbest_cost` value based on examples.
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For example, a value of /箱根山-箱根/成田空港-成田/ indicates that in the texts,
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箱根山 (Mt. Hakone) and 成田空港 (Narita Airport) we'd like a cost that gives is us
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箱根 (Hakone) and 成田 (Narita).
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--
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Then create an analyzer as follows:
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[source,js]
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--------------------------------------------------
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PUT kuromoji_sample
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{
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"settings": {
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"index": {
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"analysis": {
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"tokenizer": {
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"kuromoji_user_dict": {
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"type": "kuromoji_tokenizer",
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"mode": "extended",
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"discard_punctuation": "false",
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"user_dictionary": "userdict_ja.txt"
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}
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},
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"analyzer": {
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"my_analyzer": {
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"type": "custom",
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"tokenizer": "kuromoji_user_dict"
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}
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}
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}
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}
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}
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "my_analyzer",
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"text": "東京スカイツリー"
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}
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--------------------------------------------------
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// CONSOLE
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The above `analyze` request returns the following:
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[source,js]
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--------------------------------------------------
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{
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"tokens" : [ {
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"token" : "東京",
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"start_offset" : 0,
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"end_offset" : 2,
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"type" : "word",
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"position" : 0
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}, {
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"token" : "スカイツリー",
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"start_offset" : 2,
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"end_offset" : 8,
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"type" : "word",
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"position" : 1
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} ]
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}
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--------------------------------------------------
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// TESTRESPONSE
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[[analysis-kuromoji-baseform]]
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==== `kuromoji_baseform` token filter
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The `kuromoji_baseform` token filter replaces terms with their
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BaseFormAttribute. This acts as a lemmatizer for verbs and adjectives. Example:
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[source,js]
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--------------------------------------------------
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PUT kuromoji_sample
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{
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"settings": {
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"index": {
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"analysis": {
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"analyzer": {
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"my_analyzer": {
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"tokenizer": "kuromoji_tokenizer",
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"filter": [
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"kuromoji_baseform"
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]
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}
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}
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}
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}
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}
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "my_analyzer",
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"text": "飲み"
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}
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--------------------------------------------------
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// CONSOLE
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which responds with:
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[source,js]
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--------------------------------------------------
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{
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"tokens" : [ {
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"token" : "飲む",
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"start_offset" : 0,
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"end_offset" : 2,
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"type" : "word",
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"position" : 0
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} ]
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}
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--------------------------------------------------
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// TESTRESPONSE
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[[analysis-kuromoji-speech]]
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==== `kuromoji_part_of_speech` token filter
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The `kuromoji_part_of_speech` token filter removes tokens that match a set of
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part-of-speech tags. It accepts the following setting:
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`stoptags`::
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An array of part-of-speech tags that should be removed. It defaults to the
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`stoptags.txt` file embedded in the `lucene-analyzer-kuromoji.jar`.
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For example:
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[source,js]
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--------------------------------------------------
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PUT kuromoji_sample
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{
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"settings": {
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"index": {
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"analysis": {
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"analyzer": {
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"my_analyzer": {
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"tokenizer": "kuromoji_tokenizer",
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"filter": [
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"my_posfilter"
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]
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}
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},
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"filter": {
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"my_posfilter": {
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"type": "kuromoji_part_of_speech",
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"stoptags": [
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"助詞-格助詞-一般",
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"助詞-終助詞"
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]
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}
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}
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}
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}
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}
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "my_analyzer",
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"text": "寿司がおいしいね"
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}
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--------------------------------------------------
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// CONSOLE
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Which responds with:
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[source,js]
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--------------------------------------------------
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{
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"tokens" : [ {
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"token" : "寿司",
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"start_offset" : 0,
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"end_offset" : 2,
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"type" : "word",
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"position" : 0
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}, {
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"token" : "おいしい",
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"start_offset" : 3,
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"end_offset" : 7,
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"type" : "word",
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"position" : 2
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} ]
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}
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--------------------------------------------------
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// TESTRESPONSE
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[[analysis-kuromoji-readingform]]
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==== `kuromoji_readingform` token filter
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The `kuromoji_readingform` token filter replaces the token with its reading
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form in either katakana or romaji. It accepts the following setting:
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`use_romaji`::
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Whether romaji reading form should be output instead of katakana. Defaults to `false`.
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When using the pre-defined `kuromoji_readingform` filter, `use_romaji` is set
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to `true`. The default when defining a custom `kuromoji_readingform`, however,
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is `false`. The only reason to use the custom form is if you need the
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katakana reading form:
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[source,js]
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--------------------------------------------------
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PUT kuromoji_sample
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{
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"settings": {
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"index":{
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"analysis":{
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"analyzer" : {
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"romaji_analyzer" : {
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"tokenizer" : "kuromoji_tokenizer",
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"filter" : ["romaji_readingform"]
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},
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"katakana_analyzer" : {
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"tokenizer" : "kuromoji_tokenizer",
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"filter" : ["katakana_readingform"]
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}
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},
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"filter" : {
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"romaji_readingform" : {
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"type" : "kuromoji_readingform",
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"use_romaji" : true
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},
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"katakana_readingform" : {
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"type" : "kuromoji_readingform",
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"use_romaji" : false
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}
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}
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}
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}
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}
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "katakana_analyzer",
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"text": "寿司" <1>
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "romaji_analyzer",
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"text": "寿司" <2>
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}
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--------------------------------------------------
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// CONSOLE
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<1> Returns `スシ`.
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<2> Returns `sushi`.
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[[analysis-kuromoji-stemmer]]
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==== `kuromoji_stemmer` token filter
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The `kuromoji_stemmer` token filter normalizes common katakana spelling
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variations ending in a long sound character by removing this character
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(U+30FC). Only full-width katakana characters are supported.
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This token filter accepts the following setting:
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`minimum_length`::
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Katakana words shorter than the `minimum length` are not stemmed (default
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is `4`).
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[source,js]
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--------------------------------------------------
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PUT kuromoji_sample
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{
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"settings": {
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"index": {
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"analysis": {
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"analyzer": {
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"my_analyzer": {
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"tokenizer": "kuromoji_tokenizer",
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"filter": [
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"my_katakana_stemmer"
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]
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}
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},
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"filter": {
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"my_katakana_stemmer": {
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"type": "kuromoji_stemmer",
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"minimum_length": 4
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}
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}
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}
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}
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}
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "my_analyzer",
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"text": "コピー" <1>
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "my_analyzer",
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"text": "サーバー" <2>
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}
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--------------------------------------------------
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// CONSOLE
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<1> Returns `コピー`.
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<2> Return `サーバ`.
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[[analysis-kuromoji-stop]]
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==== `ja_stop` token filter
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The `ja_stop` token filter filters out Japanese stopwords (`_japanese_`), and
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any other custom stopwords specified by the user. This filter only supports
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the predefined `_japanese_` stopwords list. If you want to use a different
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predefined list, then use the
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{ref}/analysis-stop-tokenfilter.html[`stop` token filter] instead.
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[source,js]
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--------------------------------------------------
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PUT kuromoji_sample
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{
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"settings": {
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"index": {
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"analysis": {
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"analyzer": {
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"analyzer_with_ja_stop": {
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"tokenizer": "kuromoji_tokenizer",
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"filter": [
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"ja_stop"
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]
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}
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},
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"filter": {
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"ja_stop": {
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"type": "ja_stop",
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"stopwords": [
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"_japanese_",
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"ストップ"
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]
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}
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}
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}
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}
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}
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "analyzer_with_ja_stop",
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"text": "ストップは消える"
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}
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--------------------------------------------------
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// CONSOLE
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The above request returns:
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[source,js]
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--------------------------------------------------
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{
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"tokens" : [ {
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"token" : "消える",
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"start_offset" : 5,
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"end_offset" : 8,
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"type" : "word",
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"position" : 2
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} ]
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}
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--------------------------------------------------
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// TESTRESPONSE
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[[analysis-kuromoji-number]]
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==== `kuromoji_number` token filter
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The `kuromoji_number` token filter normalizes Japanese numbers (kansūji)
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to regular Arabic decimal numbers in half-width characters. For example:
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[source,js]
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--------------------------------------------------
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PUT kuromoji_sample
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{
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"settings": {
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"index": {
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"analysis": {
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"analyzer": {
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"my_analyzer": {
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"tokenizer": "kuromoji_tokenizer",
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"filter": [
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"kuromoji_number"
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]
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}
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}
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}
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}
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}
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}
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GET kuromoji_sample/_analyze
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{
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"analyzer": "my_analyzer",
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"text": "一〇〇〇"
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}
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--------------------------------------------------
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// CONSOLE
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Which results in:
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[source,js]
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--------------------------------------------------
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{
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"tokens" : [ {
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"token" : "1000",
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"start_offset" : 0,
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"end_offset" : 4,
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"type" : "word",
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"position" : 0
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} ]
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}
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--------------------------------------------------
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// TESTRESPONSE
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