In late application, the S-Bigram1 model performed better than the trigram model (t = 2.11, p < 0.02, one-tailed), so did the S-Bigram2 model (t = 1.99, p < 0.025, onetailed).
compared to the bigram model, the S-Bigram1 model did not change the recognition performance significantly (t = 0.38, N.S., two-tailed) in late application, neither did the S-Bigram2 model (t = 0.50, N.S., two-tailed).