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).
children clearly learn multiple aspects in parallel, rather than sequentially, implying that models of language acquisition should also incorporate joint learning.