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Target Word Selection for Korean Verbs Using a Bilingual Dictionary and WordNet.

Authors :
Zhang, Shichao
Jarvis, Ray
Kim, Kweon Yang
Lee, Byong Gul
Hong, Dong Kwon
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