Target-Text Mediated Interactive Machine Translation
Machine Translation
Trans Type: Development-Evaluation Cycles to Boost Translator's Productivity
Machine Translation
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Generation of word graphs in statistical machine translation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Confidence estimation for translation prediction
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
TransType2: an innovative computer-assisted translation system
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
Confidence estimation for machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Word-Level Confidence Estimation for Machine Translation
Computational Linguistics
Statistical approaches to computer-assisted 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
Improving interactive machine translation via mouse actions
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
An active learning scenario for interactive machine translation
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Dimensionality reduction methods for machine translation quality estimation
Machine Translation
Cost-sensitive active learning for computer-assisted translation
Pattern Recognition Letters
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This work deals with the application of confidence measures within an interactive-predictive machine translation system in order to reduce human effort. If a small loss in translation quality can be tolerated for the sake of efficiency, user effort can be saved by interactively translating only those initial translations which the confidence measure classifies as incorrect. We apply confidence estimation as a way to achieve a balance between user effort savings and final translation error. Empirical results show that our proposal allows to obtain almost perfect translations while significantly reducing user effort.