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From "Reinardus Surya Pradhitya (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-3907) Improve the Edge/NGramTokenizer/Filters
Date Thu, 29 Mar 2012 15:24:28 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-3907?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13241303#comment-13241303
] 

Reinardus Surya Pradhitya commented on LUCENE-3907:
---------------------------------------------------

Hi,

I'm interested in this project. I have done a Natural Language Processing project in language
classification in which I did tokenization using Stanford's NLP tool. I'm also currently doing
an Information Retrieval project in documents indexing and searching using Lucene and Weka.
I might not be too familiar with Lucene's ngram tokenizer, but I have been working with NGram
and Lucene before, so I believe that I would be able to learn quickly. Thanks :)

Best regards,
Reinardus Surya Pradhitya
                
> Improve the Edge/NGramTokenizer/Filters
> ---------------------------------------
>
>                 Key: LUCENE-3907
>                 URL: https://issues.apache.org/jira/browse/LUCENE-3907
>             Project: Lucene - Java
>          Issue Type: Improvement
>            Reporter: Michael McCandless
>              Labels: gsoc2012, lucene-gsoc-12
>             Fix For: 4.0
>
>
> Our ngram tokenizers/filters could use some love.  EG, they output ngrams in multiple
passes, instead of "stacked", which messes up offsets/positions and requires too much buffering
(can hit OOME for long tokens).  They clip at 1024 chars (tokenizers) but don't (token filters).
 The split up surrogate pairs incorrectly.

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