Machine Learning
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Discriminative training and maximum entropy models for statistical machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Confidence estimation for machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A note on Platt's probabilistic outputs for support vector machines
Machine Learning
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
Fast, cheap, and creative: evaluating translation quality using Amazon's Mechanical Turk
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Consistent translation using discriminative learning: a translation memory-inspired approach
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Locally training the log-linear model for SMT
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
LORIA system for the WMT12 quality estimation shared task
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Quality estimation: an experimental study using unsupervised similarity measures
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Regression with phrase indicators for estimating MT quality
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
A machine-learning framework for hybrid machine translation
KI'12 Proceedings of the 35th Annual German conference on Advances in Artificial Intelligence
Sentence-level ranking with quality estimation
Machine Translation
Weakly supervised approaches for quality estimation
Machine Translation
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We propose a translation recommendation framework to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outputs to a TM user when it predicts that SMT outputs are more suitable for post-editing than the hits provided by the TM. We describe an implementation of this framework using an SVM binary classifier. We exploit methods to fine-tune the classifier and investigate a variety of features of different types. We rely on automatic MT evaluation metrics to approximate human judgements in our experiments. Experimental results show that our system can achieve 0.85 precision at 0.89 recall, excluding exact matches. Furthermore, it is possible for the end-user to achieve a desired balance between precision and recall by adjusting confidence levels.