THE PRINCIPAL differences between the work at The University of Michigan and other work in machine translation is in the emphasis placed on the problem of multiple meaning and the approach to that problem. Our approach consists in translating small groups of words, listing in the dictionary multiple meanings under each word in the group, and finding algorithms which make it possible to choose the proper set of meanings for the group.