A word dictionary for a Markov modelbased system is often constructed from a training corpus, and no unknown words exist in the training corpus in such a case.
when the parameters of the above probabilities are trained from a training corpus, words that appear only once in the training corpus are regarded as unknown words and decomposed to characters with POC-tags so that statistics about unknown words are obtained 2 .