Evaluating translational correspondence using annotation projection
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Improved statistical machine translation using paraphrases
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Syntactic constraints on paraphrases extracted from parallel corpora
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Using paraphrases for parameter tuning in statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
The 'noisier channel': translation from morphologically complex languages
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Improved statistical machine translation using monolingually-derived paraphrases
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Translation by iterative collaboration between monolingual users
Proceedings of Graphics Interface 2010
Translation by iterative collaboration between monolingual users
Proceedings of Graphics Interface 2010
Creating speech and language data with Amazon's Mechanical Turk
CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
Improving translation via targeted paraphrasing
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Collecting highly parallel data for paraphrase evaluation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Towards strict sentence intersection: decoding and evaluation strategies
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
CSAF: a community-sourcing annotation framework
LAW VI '12 Proceedings of the Sixth Linguistic Annotation Workshop
Using targeted paraphrasing and monolingual crowdsourcing to improve translation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Paraphrase acquisition via crowdsourcing and machine learning
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
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The source text provided to a machine translation system is typically only one of many ways the input sentence could have been expressed, and alternative forms of expression can often produce a better translation. We introduce here error driven paraphrasing of source sentences: instead of paraphrasing a source sentence exhaustively, we obtain paraphrases for only the parts that are predicted to be problematic for the translation system. We report on an Amazon Mechanical Turk study that explores this idea, and establishes via an oracle evaluation that it holds the potential to substantially improve translation quality.