Otherwise, we simply sample from the distribution in Figure 2  As mentioned in the introduction, the (wordbased) POS lexicons used in existing approaches to unsupervised POS tagging were created somewhat unrealistically by collecting the possible POS tags of a word directly from the corpus on which the tagger is to be evaluated.
we automatically determine the values of these hyperparameters by (1) randomly initializing them and (2) resampling their values by using a Metropolis-Hastings update (Gilks et al., 1996) at the end of each sampling iteration.