PROBLEM TO BE SOLVED: To make speech recognition and machine translation accurate by classifying words and compound words included in text together and generating a class wherein the words and compound word are mixed. SOLUTION: The word and compound word classifying processor consists of a word classifying means 1, a word class string generating means 2, a word class string extracting means 3, a token giving means 4, a word and token string generating means 5, a word and token classifying means 6, and a compound word substituting means 7. Word classes obtained by classifying words are mapped in a linear array of words of the text data to generate a linear array of word classes. In the linear array of the word classes of the text data, word class arrays which all have adherence above a specific value between adjacent word classes are extracted and tokens are given to the word class arrays. The words and tokens are classified together and then a word class array corresponding to a token is substituted by a coupla belonging to the word string. Namely, a classifying process can be performed automatically without discriminating between words and compound words.
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