  We summarize recent machine translation (MT) research at the Information
Sciences Institute of USC, and we describe its application to the development
of a Japanese-English newspaper MT system. Our work aims at scaling up
grammar-based, knowledge-based MT techniques. This scale-up involves the use of
statistical methods, both in acquiring effective knowledge resources and in
making reasonable linguistic choices in the face of knowledge gaps.
