in this paper, we describe the acquisition iuld (Irganization of knowledge sources fur machine translation (MT) systems. It has heen liointed out by many users that one of the most annoying things idmtlt MT sys-terns is tim repeated occurrence of identical errors in word sense and attachment dlsambiguation. We show the limitations of a conventional user-dictionary method and explain how our approach solves the prol/lem.