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Experimental conditions for the Ergodic HMM

To test these new techniques, experiments on stochastic network grammar acquisition were performed. For training data, the ATR Dialog Database was used. The learning conditions of these experiments are shown in Table 1 .


表 1: Learning conditions for Ergodic HMM
type of Hidden Markov model Mealy type
number of training sentences 8,475
total number of words 57,354
vocabulary 6,418 words
end of HMM learning 40th iteration



Jin'ichi Murakami 平成13年10月2日