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https://issues.apache.org/jira/browse/LUCENE-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12697434#action_12697434
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Felipe Sánchez Martínez commented on LUCENE-1284:
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Hi Otis,
The package I submitted to Lucene has a dual license, so it is both GPL v2.0
and ASL at the same time. Is this a problem?. Apertium is GPL v2.
There is a huge community around Apertium developing language pairs for it.
Actually, this year Apertium is in the Google Summer of Code. The language
pairs mentioned in http://wiki.apertium.org/wiki/List_of_language_pairs are
those under development; the language pairs you can download from sourceforge
(http://sourceforge.net/projects/apertium/ ; packages with name
apertium-xx-yy) are the ones that have been released; anyway, they are updated
from time to time with further improvements. Their version numbers will help
you on making and idea of the state of development and the translation quality
you can expect.
Hope this helps
--
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.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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