This paper describes a method of automatic sense disambiguation for target word selection in Korean to English machine translation. At first. we define the concept of cluster for each sense of given verb according to corresponding target word. And then. we propose a method which selects the sense combination of words as the correct sense that has the greatest number of overlaps between input case slots and the predefined clusters for the given verb.