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https://issues.apache.org/jira/browse/SOLR-3653?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13419096#comment-13419096
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Robert Muir commented on SOLR-3653:
-----------------------------------
{quote}
The "Smart" Simplified Chinese toolkit in lucene/analysis/smartcn has no Solr
factories
{quote}
Actually there are factories in contrib/analysis-extras.
{quote}
and includes a "fixup" class to handle the occasional mistake made by the Smart
Chinese implementation.
{quote}
I am not sure on this: if someone wants to mix an n-gram technique with a word
model, they can just
use two fields? If they want to limit the n-gram field to only longer terms,
they should use LengthFilter.
Furthermore, I don't really understand the problem here.
The word you are upset about (中华人民共和国) is in the smartcn dictionary. As I
understand, this word basically means "PRC".
This is a single concept and makes sense as an indexing unit. Why do we care
how long it is in characters?
> Support Smart Simplified Chinese in Solr - include clean-up bigramming filter
> -----------------------------------------------------------------------------
>
> Key: SOLR-3653
> URL: https://issues.apache.org/jira/browse/SOLR-3653
> Project: Solr
> Issue Type: New Feature
> Components: Schema and Analysis
> Reporter: Lance Norskog
> Attachments: SOLR-3653.patch, SmartChineseType.pdf
>
>
> The "Smart" Simplified Chinese toolkit in lucene/analysis/smartcn has no Solr
> factories. Also, since it is a statistical algorithm, it is not perfect.
> This patch supplies factories and a schema.xml type for the existing Lucene
> Smart Chinese implementation, and includes a "fixup" class to handle the
> occasional mistake made by the Smart Chinese implementation.
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