More recently, a fully-Bayesian approach to unsupervised POS tagging has been developed by Goldwater and Griffiths (2007) [henceforth G&G] as a viable alternative to the traditional maximumlikelihood-based HMM approach.
1 the labor-intensive POS lexicon construction process renders unsupervised POS taggers a lot less unsupervised than they appear.