The article presents a classification approach to building an English-Korean machine translation (MT) system. The author attempts to build a wordbased MT system from scratch using a set of parallel documents, online dictionary queries, and monolingual documents on the web. In this approach, the MT problem is decomposed into two sub-problems - word selection and word ordering of the selected words. In this paper, the author will focus on the word selection problem and will discuss some preliminary results.