Incorrect classification of definite and indefinite articles in German about wapiti HOT 3 CLOSED

@ThomasBarnekow each and every tagger (e.g. Wapiti, RFTagger, etc.) has a level of quality that depend heavily on the trained model. In any case, if you can tag a large test set and then compare accuracy, this will determine which tagger/model suits you best.

PS I did find that accuracy also depends on the implementation itself really. I trained CRF++, CRFSuite and Wapiti on the same data but end up with different results :)

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@almasaud Thanks! I understand that there are differences between the trained models and the implementations. In this case, my assumption is that the training data might be wrong (e.g., because the tags for definite and indefinite articles might be swapped).

I'm just starting to play around with natural language processing. For example, I don't have any training corpora I could use to train Wapiti (or other taggers). Could you point me to something I could use for further testing?

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@ThomasBarnekow That could be the case. However, there is still a chance that the model is just confused in this particular sentence.

Anyhow, just googled and found this dataset http://www.ims.uni-stuttgart.de/forschung/ressourcen/korpora/tiger.en.html never tried it before but it looks good candidate.

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