Rapid Prototyping of Domain-Specific Machine Translation Systems
نویسندگان
چکیده
This paper reports on an experiment in assembling a domainspeci c machine translation prototype system from o -the-shelf components. The design goals of this experiment were to reuse existing components, to use machine-learning techniques for parser specialization and for transfer lexicon extraction, and to use an expressive, lexicalized formalism for the transfer component. In Machine Translation and the Information Soup { Proceedings of the Third Conference of the Association for Machine Translation in the Americas AMTA'98, Springer Verlag (Lecture Notes in Arti cial Intelligence No. 1529), Berlin.
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