Edited by Béatrice Daille, Kyo Kageura, Hiroshi Nakagawa and Lee-Feng Chien
[Terminology 10:1] 2004
► pp. 131–153
General-purpose statistical translation engine and domain specific texts
Would it work ?
The past decade has witnessed exciting work in the field of Statistical Machine Translation (SMT). However, accurate evaluation of its potential in real-life contexts is still an open question. In this study, we investigate the behavior of an SMT engine faced with a corpus far different from the one it has been trained on. We show that terminological databases are obvious resources that should be used to boost the performance of a statistical engine. We propose and evaluate one way of integrating terminology into a SMT engine which yields a significant reduction in word error rate.
Cited by 3 other publications
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