As the word trigram model is most widely used in current research, all the experiments have been done using a MI-Trigram model which is trained on the XINHUA news corpus of 29 million words(automatically segmented) while the lexicon contains about 28000 words.
the perplexities and Chinese character recognition rates of different MI-Trigram models with the same window size of 10 and different numbers of distance-dependent word pairs are shown in Table 4.