Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Mixture-model adaptation for SMT
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
IEEE Transactions on Information Theory
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The new frontier of computer assisted translation technology is the effective integration of statistical MT within the translation workflow. In this respect, the SMT ability of incrementally learning from the translations produced by users plays a central role. A still open problem is the evaluation of SMT systems that evolve over time. In this paper, we propose a new metric for assessing the quality of an adaptive MT component that is derived from the theory of learning curves: the percentage slope.