Hyo-Kyung Lee


Classification approach to word selection in machine translation
Hyo-Kyung Lee
Proceedings of the 5th Conference of the Association for Machine Translation in the Americas: Technical Papers

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.