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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. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org