Integrating Knowledge Bases and Statistics in MT
  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. 
Kevin Knight (USC/ISI), Ishwar Chander (USC/ISI), Matthew Haines   (USC/ISI), Vasileios Hatzivassiloglou (Columbia Univ.), E...