A framework of a mechanical translation between Japanese and English by analogy principle
Proc. of the international NATO symposium on Artificial and human intelligence
Communications of the ACM - Special issue on parallelism
Toward memory-based translation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
A similarity-driven transfer system
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Review Article: Example-based Machine Translation
Machine Translation
Generalizing case frames using a thesaurus and the MDL principle
Computational Linguistics
Application of analogical modelling to example based machine translation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Panning for EBMT gold, or "Remembering not to forget"
Machine Translation
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Case-based machine translation is a promising approach to resolving problems in rule-based machine translation systems, such as difficulties in control of rules and low adaptability to specific domains. We propose a new mechanism for case-based machine translation, in which a large set of cases is generalized into a smaller set of cases by using a thesaurus.