A joint statistical model for simultaneous word spacing and spelling error correction for Korean

Authors:
Hyungjong Noh;Jeong-Won Cha;Gary Geunbae Lee
Affiliations:
Pohang University of Science & Technology (POSTECH), Pohang, Republic of Korea;Changwon National University, Changwon Gyeongnam, Korea;Pohang University of Science & Technology (POSTECH), Pohang, Republic of Korea
Venue:
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Year:
2007

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Abstract

This paper presents noisy-channel based Korean preprocessor system, which corrects word spacing and typographical errors. The proposed algorithm corrects both errors simultaneously. Using Eojeol transition pattern dictionary and statistical data such as Eumjeol n-gram and Jaso transition probabilities, the algorithm minimizes the usage of huge word dictionaries.