A framework of a mechanical translation between Japanese and English by analogy principle
Proc. of the international NATO symposium on Artificial and human intelligence
Structural matching of parallel texts
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Toward memory-based translation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
The transfer phase of the Mu machine translation system
COLING '86 Proceedings of the 11th coference on Computational linguistics
Lexical knowledge acquisition from bilingual corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Cooperation between transfer and analysis in example-based framework
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Learning translation templates from bilingual text
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
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
Better Contextual Translation Using Machine Learning
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
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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Distinguishing exceptional translation examples is an important issue in example-based transfer systems, because such systems use exceptional and general translation examples uniformly. This paper describes a mechanism for dealing with exceptional translation examples in our example-based transfer system, SimTran, and proposes a method for identifying such examples in a translation example-base.