The taggers TnT* and Ice* benefit the most from the corpus error correction -their   Since the TnT tagger is a data-driven tagger, it is interesting to see whether the corrected corpus changes the language model (to the better) of the tagger.
does retraining using the corrected corpus produce better results than using the language model generated from the original corpus?