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https://issues.apache.org/jira/browse/LUCENE-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felipe Sánchez Martínez updated LUCENE-1284:
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Attachment: apertium-morph.2008-05-19.tgz
Typo in a package name: src/java/org/apache/lucene/benckmark/ (should be
benchmark) solved.
build.xml fixed. I have tried on a clean SVN version and it compiles without
errors. Using sun-java-6.
Forget the previous attachments.
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Felipe.
> Set of Java classes that allow the Lucene search engine to use morphological
> information developed for the Apertium open-source machine translation
> platform (http://www.apertium.org)
> --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: LUCENE-1284
> URL: https://issues.apache.org/jira/browse/LUCENE-1284
> Project: Lucene - Java
> Issue Type: New Feature
> Environment: New feature developed under GNU/Linux, but it should
> work in any other Java-compliance platform
> Reporter: Felipe Sánchez Martínez
> Assignee: Otis Gospodnetic
> Attachments: apertium-morph.2008-05-12.tgz,
> apertium-morph.2008-05-19.tgz
>
>
> Set of Java classes that allow the Lucene search engine to use morphological
> information developed for the Apertium open-source machine translation
> platform (http://www.apertium.org). Morphological information is used to
> index new documents and to process smarter queries in which morphological
> attributes can be used to specify query terms.
> The tool makes use of morphological analyzers and dictionaries developed for
> the open-source machine translation platform Apertium (http://apertium.org)
> and, optionally, the part-of-speech taggers developed for it. Currently there
> are morphological dictionaries available for Spanish, Catalan, Galician,
> Portuguese,
> Aranese, Romanian, French and English. In addition new dictionaries are being
> developed for Esperanto, Occitan, Basque, Swedish, Danish,
> Welsh, Polish and Italian, among others; we hope more language pairs to be
> added to the Apertium machine translation platform in the near future.
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