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https://issues.apache.org/jira/browse/LUCENE-2023?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-2023:
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Attachment: LUCENE-2023.patch
in BiSegGraph, char[] was being created in n^2 fashion for each edge
(SegTokenPair), even though its only used for weight calculation.
instead, add methods to BigramDictionary to get the frequency of a bigram:
getFrequency(char left[], char right[]) without this silliness.
new figures are:
* cjkanalyzer: 3447k/s
* orig smartcn: 1357k/s
* patched smartcn: 2125k/s
> Improve performance of SmartChineseAnalyzer
> -------------------------------------------
>
> Key: LUCENE-2023
> URL: https://issues.apache.org/jira/browse/LUCENE-2023
> Project: Lucene - Java
> Issue Type: Improvement
> Components: contrib/analyzers
> Reporter: Robert Muir
> Assignee: Robert Muir
> Priority: Minor
> Fix For: 3.0
>
> Attachments: LUCENE-2023.patch, LUCENE-2023.patch, LUCENE-2023.patch,
> LUCENE-2023.patch, LUCENE-2023.patch
>
>
> I've noticed SmartChineseAnalyzer is a bit slow, compared to say CJKAnalyzer
> on chinese text.
> This patch improves the internal hhmm implementation.
> Time to index my chinese corpus is 75% of the previous time.
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