Resource selection and data fusion in multimedia distributed digital libraries
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Three heads are better than one
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Using language and translation models to select the best among outputs from multiple MT systems
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Combination of Arabic preprocessing schemes for statistical machine translation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Improving alignments for better confusion networks for combining machine translation systems
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Choosing the right translation: a syntactically informed classification approach
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Multi-engine machine translation with an open-source decoder for statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
First steps towards multi-engine machine translation
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Local lexical adaptation in machine translation through triangulation: SMT helping SMT
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Machine transliteration survey
ACM Computing Surveys (CSUR)
Machine translation system combination by confusion forest
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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The paper describes a particular approach to multiengine machine translation (MEMT), where we make use of voted language models to selectively combine translation outputs from multiple off-the-shelf MT systems. Experiments are done using large corpora from three distinct domains. The study found that the use of voted language models leads to an improved performance of MEMT systems.