[Corpora-List] state of the art on corpora annotation ...

[Dickinson, Markus]

Albrecht,

A few years ago, Charles Jochim & I did some work on trying to do 
tagset comparisons, which may be of some interest to you:
http://jones.ling.indiana.edu/~mdickinson/papers/dickinson-jochim08.html

I think there has been more work on the related issue of defining 
mappings between tagsets, such as Petrov, Das, & McDonald (2012) 
(http://www.dipanjandas.com/files/lrec.pdf) - see the references in 
their paper for a more thorough list.

Hope that helps!

Markus

> Date: Sat, 21 Jul 2012 19:26:22 +0100 (BST)
> From: Eric Atwell <E.S.Atwell at leeds.ac.uk>
> Subject: Re: [Corpora-List] state of the art on corpora annotation ...
> To: Albretch Mueller <lbrtchx at gmail.com>
> Cc: CORPORA discussion forum <corpora at uib.no>
>
> Albrecht,
>
> I'm not sure what you mean by "comparison on tag sets" but if you want a
> discussion of criteria used in development of tagsets, and some concrete
> examples of their application in some different languages (English,
> Urdu, Arabic, Malay), see:
>
> Atwell, E. 2008. Development of tag sets for part-of-speech tagging.
> in: Ludeling A, Kyto M (ed.) Corpus Linguistics: An International Handbook,
> Volume 1, pp.501-526. Mouton de Gruyter.
> Pre-publication version: http://www.comp.leeds.ac.uk/eric/atwell07clih.pdf
>
>
> Eric Atwell, Language at Comp.Leeds.ac.uk - Language Computing @ Leeds
>
>
> On Sat, 21 Jul 2012, Albretch Mueller wrote:
>
>> I wonder how far have we gone more than 20 years after the publication of:
>> ~
>> Corpus Annotation. Roger Garside (Author), Tone McEnery (Author),
>> Antony McEnery (Author)
>> ~
>> Paperback: 281 pages
>> ISBN-10: 0582298377
>> ISBN-13: 978-0582298378
>> ~
>> I read that one because you don't find any "suggested", more current
>> books on that topic on amazon and also because I am interested about
>> the history of corpora processing as well. Also I ask here (instead of
>> searching for it) because I have sometimes found papers and students
>> thesis that didn't rank up but are very good and current
>> ~
>> Ideally I would like to read a through comparison on tag sets with
>> concrete examples/explanations ;-)
>> ~
>> lbrtchx
>>



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