This part of the model is parametric, operating over a fixed number of tags T , and is identical to the formulation of tag transitions in the Bayesian HMM (Goldwater and Griffiths, 2007).
the tag sequence is generated by a trigram Dirichlet-multinomial distribution, where transition parameters τ are drawn from a symmetric Dirichlet distribution with the hyperparameter α t .