[jira] [Moved] (SOLR-8159) Tokenizing Chinese strings using lucene Chinese analyzer

["Gavin (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SOLR-8159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Gavin moved INFRA-10577 to SOLR-8159:
-------------------------------------

    INFRA-Members:   (was: [infrastructure-team])
         Workflow: classic default workflow  (was: INFRA Workflow)
              Key: SOLR-8159  (was: INFRA-10577)
          Project: Solr  (was: Infrastructure)

> Tokenizing Chinese strings using lucene Chinese analyzer
> --------------------------------------------------------
>
>                 Key: SOLR-8159
>                 URL: https://issues.apache.org/jira/browse/SOLR-8159
>             Project: Solr
>          Issue Type: Bug
>            Reporter: Srimanth Bangalore Krishnamurthy
>            Priority: Minor
>
> The text that is indexed: 校准的卡尔曼滤波器
> Query string: 卡尔曼滤波
> The exact query string is present in an indexed document on SOLR. But it doesn't return this document. 
> SOLR analysis shows on index: 
> 的卡 
> 尔 
> 曼 
> 滤波器 
> but the queried terms show: 
> 卡 
> 尔 
> 曼 
> 滤波 
> The other characters appear to be influencing how 卡尔曼滤波 is tokenized. 
> Is this an expected behavior??
> Here are the things I have tried
> 1) I tried a couple of different tokenizers and the behavior is the same. 
> 2) I tried to explore the option of dictionary but I found this:
> https://issues.apache.org/jira/browse/LUCENE-1817
> 3) I tried using the following with text_zh for chinese documents. 
> a) solr.KeywordMarkerFilterFactory
> b) solr.StemmerOverrideFilterFactory
> c) Adding to synonyms.txt 
> All these seem to work only with text_en and have no effect for text_zh
> Are there any options I can try to make sure that the query returns this document?



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