As Table 1 shows, across all grammars and conditions after 2,000 iterations incremental initialization produces samples with much better word segmentation token f-score than does batch initialization, with the largest improvement on the unigram adaptor grammar.
pitman-Yor processes can control the strength of this effect somewhat by moving mass from existing tables to the base distribution.