When m = 1, this conditioning is analogous to TNG's word distribution.
in contrast with TNG, the word Figure 3: Illustration of the hierarchical Pitman-Yor process for a toy two-word vocabulary V = {honda, civic} and two-topic (T = 2) model with m = 1.