Suppose we have a unigram word distribution given a word v is different from G 1 , but will be similar to G 1 especially for high frequency words.
we can generate G 2 from a PY process of base measure G 1 , as , and G 1 , G 2 , G 3 will form a tree structure shown in Figure 1(a).