In our approach we model these distributions using hierarchical PY processes instead of the categorical distributions.
we place the following assumptions on IBM model 1: In this probability modelling we assume that the alignment positions are determined using the uniform distribution, and that word translations are generated depending on the source word -the probability of translating to a specific foreign word depends on the observed frequency of pairs of the foreign word and the given source word.