The high ambiguity rate inherent in our weakly supervised approach substantially complicates the POS tagging process.
our third goal of this paper is to propose two potentially performance-enhancing extensions to G&G's Bayesian POS tagging approach, which exploit morphology and techniques successfully used in supervised POS tagging.