hi all,
i m still confuse and the point is that i have run brill tagger for
english...but my research work is based on Urdu LANGUAGE,now how to
run it for urdu language(south asian language,agglunative) and as in
nltk we have only support for hindi,english,marathi,telugu etc but not
for Urdu language, but this brill is specifically designed for english
language...though it is written every where in literature and research
papers that it is language independent model...if it is so than can we
run the templates that were defined by brill for english on the urdu
language ...would they work? how to design learning algorithm my own?
i am really confused in the third step that after getting temporarily
tagged data through initial annotator, how templates and rules will be
generated through algo?does nltk fns and apis will be sufficient to do
dis job...
i m done with literature stuff but for practical work m stuck on this
step.. what to do...plz help!!!
> backoff_tagger is a helper function I defined in part 1:
http://streamhacker.com/2008/11/03/part-of-speech-tagging-with-nltk-p...
> It's simply a way to construct a backoff tagger with a list of tagger
> class names. You can also construct one manually as detailed in the
> NLTK Book.
>
> Jacob