Hey Sebastian,
you can also have a look at [1], which is what we used to create
internationalized models. What you will need is (1) stop words [that's easy]
(2) tokenization [that's a bit more critical]. We support Korean tokenization
out of the box via java.text but since I suppose Korean is hard to tokenize, it
will likely give better results to have a supervised OpenNLP tokenizer
tokenizer.
Best,
Jo
[1] https://github.com/jodaiber/model-quickstarter
Am 19.04.2013 um 14:16 schrieb Pablo N. Mendes:
>
> All of the documentation is work in progress. Please feel free to improve the
> confusing points and fix the outdated information.
>
> We have another side of the docs that have been updated more recently:
> https://github.com/dbpedia-spotlight/dbpedia-spotlight/wiki/Internationalization-(DB-backed-core)
>
> It uses a different pipeline from the link you pointed out. But this may be
> easier to work with Korean at the current state of affairs.
>
> Cheers,
> Pablo
>
>
> On Fri, Apr 19, 2013 at 2:08 PM, Sebastian Hellmann
> <[email protected]> wrote:
> Dear list,
> I am not sure, whether this shouldn't go to the developers list....
>
> Can somebody tell me what the best way is to create a Korean Spotlight.
> http://wiki.dbpedia.org/Internationalization
> Seems to be outdated. It also confused us a lot. I hope there is a
> simpler way with more straightforward instructions.
>
> All the best,
> Sebastian
>
>
>
>
> --
> Dipl. Inf. Sebastian Hellmann
> Department of Computer Science, University of Leipzig
> Projects: http://nlp2rdf.org , http://linguistics.okfn.org ,
> http://dbpedia.org/Wiktionary , http://dbpedia.org
> Homepage: http://bis.informatik.uni-leipzig.de/SebastianHellmann
> Research Group: http://aksw.org
>
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>
> Pablo N. Mendes
> http://pablomendes.com
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