For the multinomial model, we sample (c, t, f ) together, with the following posterior conditional probability, P ((c, t, f ) Take the second term of the above equation as an example.
of our choice of conjugate priors, the posterior distribution, P(t|c, θ T , A −i ), is also multinomial but with a different parameter α ′ ∼ Dirichlet(α F + m c, f ), where m c, f is the number of analyses that contain both inflectional class c and suffix f .