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https://issues.apache.org/jira/browse/LUCENE-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12702192#action_12702192
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Otis Gospodnetic commented on LUCENE-1284:
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Hm, I feel that because of these command-line non-Java and GPLed tools it may
not be possible (or will be very clunky) to integrate this with Lucene.
What do others think?
Felipe, although Java equivalents of those command-line tools don't exist
currently, do you think one could implement them in Java (and release them
under ASL)? I don't know what exactly is in those tools and what it would take
to port them to Java.
Thanks.
> 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.0.9.0.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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