13. The language model creation method according to claim 12 , wherein the configuring includes configuring groups each made up of a dialect-containing word string and a standard language-containing word string corresponding to the dialect as the transformation rules, and the creating, after creating the dialect-containing n-grams, includes retrieving the probability of occurrence of the standard language-containing word string from the standard language model and computing the probability of occurrence of the added dialect-containing word string of the same group based on the retrieved probability of occurrence and a pre-configured distribution probability.
13. The language model creation method according to claim 12 , wherein the configuring includes configuring groups each made up of a dialect-containing word string and a standard language-containing word string corresponding to the dialect as the transformation rules, and the creating, after creating the dialect-containing n-grams, includes retrieving the probability of occurrence of the standard language-containing word string from the standard language model and computing the probability of occurrence of the added dialect-containing word string of the same group based on the retrieved probability of occurrence and a pre-configured distribution probability. 14. The language model creation method according to claim 13 , wherein the creating includes configuring the distribution probability value using dialect data including the dialect-containing speech data and the dialect-containing text data.