Making large-scale support vector machine learning practical
Advances in kernel methods
A systematic comparison of various statistical alignment models
Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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
TrustRank: inducing trust in automatic translations via ranking
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Bridging SMT and TM with translation recommendation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Goodness: a method for measuring machine translation confidence
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Meteor 1.3: automatic metric for reliable optimization and evaluation of machine translation systems
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Findings of the 2012 workshop on statistical machine translation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
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We in this paper describe the regression system for our participation in the quality estimation task of WMT12. This paper focuses on exploiting special phrases, or word sequences, to estimate translation quality. Several feature templates on this topic are put forward subsequently. We train a SVM regression model for predicting the scores and numerical results show the effectiveness of our phrase indicators and method in both ranking and scoring tasks.