Integrating Knowledge Bases and Statistics in MT

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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.
8 pages, compressed, uuencoded postscript

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Computation and Language

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http://salesiana.dossiersoluciones.com/handle/123456789/151061

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cmp-lg/9409001
 http://arxiv.org/abs/cmp-lg/9409001
 Proc Association for Machine Translation in the Americas (AMTA-94)

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arXiv