Ultraconservative online algorithms for multiclass problems
The Journal of Machine Learning Research
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A maximum entropy word aligner for Arabic-English machine translation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Flexible text segmentation with structured multilabel classification
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Word-Level Confidence Estimation for Machine Translation
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
11,001 new features for statistical machine translation
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Improving word alignment using syntactic dependencies
SSST '08 Proceedings of the Second Workshop on Syntax and Structure in Statistical Translation
Improving Arabic-Chinese statistical machine translation using English as pivot language
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Efficient dynamic programming search algorithms for phrase-based SMT
CHSLP '06 Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing
Confidence measure for word alignment
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Error detection for statistical machine translation using linguistic features
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
TrustRank: inducing trust in automatic translations via ranking
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Linguistic features for quality estimation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
The SDL language weaver systems in the WMT12 quality estimation shared task
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
Non-linear models for confidence estimation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Match without a referee: evaluating MT adequacy without reference translations
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Quality estimation for machine translation: some lessons learned
Machine Translation
Investigating the contribution of linguistic information to quality estimation
Machine Translation
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State-of-the-art statistical machine translation (MT) systems have made significant progress towards producing user-acceptable translation output. However, there is still no efficient way for MT systems to inform users which words are likely translated correctly and how confident it is about the whole sentence. We propose a novel framework to predict word-level and sentence-level MT errors with a large number of novel features. Experimental results show that the MT error prediction accuracy is increased from 69.1 to 72.2 in F-score. The Pearson correlation between the proposed confidence measure and the human-targeted translation edit rate (HTER) is 0.6. Improvements between 0.4 and 0.9 TER reduction are obtained with the n-best list reranking task using the proposed confidence measure. Also, we present a visualization prototype of MT errors at the word and sentence levels with the objective to improve post-editor productivity.