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Allow training models with non-CGN PoS tags #53
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Frog is currently quite tied to CGN (as we noticed in #52). I propose adding a parameter
style
fortagger
infrog.cfg
to indicate whether a PoS tagset is CGN-like (tagger.style = cgn
) , i.e. it uses theHEAD(featurevalue,featurevalue)
format and to also allow training models that are not in that style (tagger.style = simple
?), in which case the resulting pos tags in the FoLiA would of course have no features at all at just be considered blobs. Additionaly, we could perhaps add another parameter value (tagger.style = cgn-full
) for a more verbose CGN-styleHEAD(subset=featurevalue,subset=featurevalue)
(suggested by @JessedeDoes) which would eliminate a lot of the disambiguation problems we currently face.The text was updated successfully, but these errors were encountered: