A Prolog-based Korean-English Machine Translation System and its efficient method of dictionary management
This paper describes a Prolog-based Korean-English Machine Translation System (KEMTS).
KEMTS employs the transfer approach and consists of four separate phases — morphological analysis, parsing, deep structure generation, and English generation.
The implementation described here is based on a syntactic analysis of Hangul (the Korean language) and English, and it applies and extends the work of Marcus.
KEMTS also makes use of a dictionary management system called DProlog in order to overcome the inefficiency of the sequential search in Prolog and to manage the large amount of data conveniently.
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