Integrating Knowledge Bases and Statistics in MT

Computer Science – Computation and Language

Scientific paper

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8 pages, compressed, uuencoded postscript

Scientific paper

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.

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