Portable knowledge sources for machine translation
Koichi Takeda · 1994
In this paper, we describe the acquisition and organization of knowledge sources for machine translation (MT) systems. It has been pointed out by many users that one of the most annoying things about MT systems is the repeated occurrence of identical errors in word sense and attachment disambignuation. We show the limitations of a conventional user-dictionary method and explain how our approach solves the problem.