Integrating Knowledge Bases and Statistics in MT

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dc.creatorKnight, Kevin
dc.creatorChander, Ishwar
dc.creatorHaines, Matthew
dc.creatorHatzivassiloglou, Vasileios
dc.creatorHovy, Eduard
dc.creatorIida, Masayo
dc.creatorLuk, Steve K.
dc.creatorOkumura, Akitoshi
dc.creatorWhitney, Richard
dc.creatorYamada, Kenji
dc.date1994-09-05
dc.date.accessioned2026-07-07T09:09:30Z
dc.date.available2026-07-07T09:09:30Z
dc.descriptionWe 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.
dc.description8 pages, compressed, uuencoded postscript
dc.identifierhttps://arxiv.org/abs/cmp-lg/9409001
dc.identifierhttp://arxiv.org/abs/cmp-lg/9409001
dc.identifierProc Association for Machine Translation in the Americas (AMTA-94)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151061
dc.subjectComputation and Language
dc.titleIntegrating Knowledge Bases and Statistics in MT
dc.typetext

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