Using Bayes theorem, we then obtain P (z|n), which corresponds to the latent class distribution for each noun.
in other words, distribution P (z|n) represents the features of meaning possessed by noun n. we can calculate the similarity between nouns n 1 and n 2 by measuring the distance or similarity between the two corresponding distribution, P (z|n 1 ) and P (z|n 2 ), using an appropriate measure.