SYSTEM AND METHOD FOR SPELLING CORRECTION OF NON-ROMAN CHARACTER AND WORD

摘要

PROBLEM TO BE SOLVED: To provide a system and a method for processing and correcting misspelling of a word based upon non-Roman characters, such as Chinese, Japanese, and Korean, using rule-based classifiers and hidden Markov models.SOLUTION: The method includes the processes of: converting an input entry in a first language generally like Chinese into at least one intermediate entry in intermediate representation like Pinyin different from the first language; converting the intermediate entry into at least one possible alternative spelling or format of the input entry in the first language; and determining whether the input entry is an accurate input entry or a doubtful input entry respectively when coincidence between the input entry and all possible alternative spellings therefor is specified or nor specified. The doubtful input entry can be classified based upon a conversion rule generated by, for example, a conversion rule generator, by using classifiers based upon the conversion rule.