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Target Word Selection for Korean Verbs Using a Bilingual Dictionary and WordNet.
- Source :
- AI 2005: Advances in Artificial Intelligence; 2005, p1233-1236, 4p
- Publication Year :
- 2005
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540304623
- Database :
- Supplemental Index
- Journal :
- AI 2005: Advances in Artificial Intelligence
- Publication Type :
- Book
- Accession number :
- 32884567
- Full Text :
- https://doi.org/10.1007/11589990_177