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Contrastive Analysis and Feature Selection for Korean Modal Expression in Chinese-Korean Machine Translation System.
- Source :
-
International Journal of Computer Processing of Oriental Languages . Sep2005, Vol. 18 Issue 3, p227-242. 16p. - Publication Year :
- 2005
-
Abstract
- To generate a proper Korean predicate, a natural modal expression is the most important factor for a machine translation (MT) system. Tense, aspect, mood, negation, and voice are the major constituents related to modal expression. The linguistic encoding of a modal expression is quite different between Chinese and Korean in terms of linguistic typology and genealogy. In this paper, a new applicable categorization of Korean modality system viz. tense, aspect, mood, negation, and voice, will be proposed through a contrastive analysis of Chinese and Korean from the viewpoint of a practical MT system. In order to precisely determine the modal expression, effective feature selection frameworks for Chinese are presented with a variety of machine learning methods. As a result, our proposed approach achieved an accuracy of 83.10%. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02194279
- Volume :
- 18
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- International Journal of Computer Processing of Oriental Languages
- Publication Type :
- Academic Journal
- Accession number :
- 18376754