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https://issues.apache.org/jira/browse/LUCENE-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12675595#action_12675595
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Mark Miller commented on LUCENE-1284:
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I think there may have been more than one thread on the subject. You should be
able to dig them up with one of the searchable archives:
http://www.lucidimagination.com/search/p:lucene/s:email/l:dev?q=author
I'm not sure if the removal of all current @author tags has been completed yet,
but it will be (work on that issue pops up here and there and I am unsure if
its completed). My current stance is that I would remove @author tags before
committing code myself.
There are a variety of reasons, but to boil down my take: recognition for
contributions is listed in CHANGES and JIRA, and donated code often ends up
having multiple authors - -something that has not been tracked well by the
@author tags in the past. Other reasons can probably be gleaned from the
discussions.
> 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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