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From "Robert Muir (JIRA)" <j...@apache.org>
Subject [jira] Updated: (LUCENE-2023) Improve performance of SmartChineseAnalyzer
Date Sun, 01 Nov 2009 18:39:59 GMT

     [ https://issues.apache.org/jira/browse/LUCENE-2023?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Robert Muir updated LUCENE-2023:
--------------------------------

    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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