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The main aim of this work is to make improvements to Mirine 2.2, a Korean grammar-checker that takes Korean language properties into account and to develop a system that satisfies user expectations. Particular attention is given to processing Korean texts that may contain users' grammatical and practical errors. In order to treat these errors efficiently,(More)
In this study, we have proposed an automatic word spacing system for the Korean language, which uses syllable n-gram and word statistics extracted from a large amount of processed corpora. The optimal spacing points of a sentence are decided mainly by using the Viterbi algorithm. As the statistical studies performance is sensitive to the training corpus and(More)