Abstract
We present a classification approach to building a English-Korean machine translation (MT) system. We attempt to build a word-based MT system from scratch using a set of parallel documents, online dictionary queries, and monolingual documents on the web. In our approach, MT problem is decomposed into two sub-problems — word selection problem and word ordering problem of the selected words. In this paper, we will focus on the word selection problem and discuss some preliminary results.- Anthology ID:
- 2002.amta-papers.12
- Volume:
- Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers
- Month:
- October 8-12
- Year:
- 2002
- Address:
- Tiburon, USA
- Venue:
- AMTA
- SIG:
- Publisher:
- Springer
- Note:
- Pages:
- 114–123
- Language:
- URL:
- https://link.springer.com/chapter/10.1007/3-540-45820-4_12
- DOI:
- Cite (ACL):
- Hyo-Kyung Lee. 2002. Classification approach to word selection in machine translation. In Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 114–123, Tiburon, USA. Springer.
- Cite (Informal):
- Classification approach to word selection in machine translation (Lee, AMTA 2002)
- PDF:
- https://link.springer.com/chapter/10.1007/3-540-45820-4_12