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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:
-------------------------------------

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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