A systematic comparison of various statistical alignment models
Computational Linguistics
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Do we need phrases?: challenging the conventional wisdom in statistical machine translation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of 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
Predicting success in machine translation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Ngram-based statistical machine translation enhanced with multiple weighted reordering hypotheses
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
The ISL phrase-based MT system for the 2007 ACL workshop on statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Findings of the 2009 workshop on statistical machine translation
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Learning word-class lattices for definition and hypernym extraction
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
The CUED HiFST system for the WMT10 translation shared task
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
The UPV-PRHLT combination system for WMT 2010
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Facilitating translation using source language paraphrase lattices
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Example-based paraphrasing for improved phrase-based statistical machine translation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Local lexical adaptation in machine translation through triangulation: SMT helping SMT
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Incorporating source-language paraphrases into phrase-based SMT with confusion networks
SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
Web-based validation for contextual targeted paraphrasing
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
Journal of Artificial Intelligence Research
Generalizing sub-sentential paraphrase acquisition across original signal type of text pairs
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Distributional phrasal paraphrase generation for statistical machine 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
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Multi-source statistical machine translation is the process of generating a single translation from multiple inputs. Previous work has focused primarily on selecting from potential outputs of separate translation systems, and solely on multi-parallel corpora and test sets. We demonstrate how multi-source translation can be adapted for multiple monolingual inputs. We also examine different approaches to dealing with multiple sources, including consensus decoding, and we present a novel method of input combination to generate lattices for multi-source translation within a single translation model.