Target word selection for korean verbs using a bilingual dictionary and wordnet

Authors:
Kweon Yang Kim;Byong Gul Lee;Dong Kwon Hong
Affiliations:
Dept. of Computer Engineering, Kyungil University, Republic of Korea;Dept. of Computer Science and Engineering, Seoul Women’s University, Republic of Korea;Dept. of Computer Engineering, Keimyung University, Republic of Korea
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

This paper presents an approach of target word selection for Korean verbs based on lexical knowledge contained in a Korean-English bilingual dictionary and WordNet. We focus on deciding which translation of the target word is the most appropriate using the measure of semantic relatedness between possible translations of target word and some indicative clue words. With five Korean ambiguous verbs, we report an average accuracy of 51% that outperforms the default baseline performance and previous works.