Computers are being used widely for document preparation. The method of document preparation has created a market for word processing systems. Once this mode of document preparation is adopted, several new operations on text files becomes possible.
One interest here is the possibility of analyzing documents for spelling errors. As computers are used in an ever-widening variety of lexical processing tasks, the problem of error detection and correction becomes more critical. Several systems can analyze a text file for potential spelling errors, pointing out probable correct spellings.
Hangul spelling error systems have not been appeared because of late development of Hangul word processors.
This thesis proposes a solution for implementing Hangul spelling error detection and correction system, implemented on NEC/S100 according to the proposed method.
This system may be basis of Hangul Machine Translation and Hangul Natural Language processing.
