BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Clause restructuring for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for 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
Parallel implementations of word alignment tool
SETQA-NLP '08 Software Engineering, Testing, and Quality Assurance for Natural Language Processing
Multi-engine machine translation with an open-source decoder for 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
Combining multi-engine translations with Moses
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
MANY: open source MT system combination at WMT'10
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
CMU multi-engine machine translation for WMT 2010
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Findings of the 2011 Workshop on Statistical Machine Translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
| Hi-index | 0.00 |
This paper describes the UZH system that was used for the WMT 2011 system combination shared task submission. We participated in the system combination task for the translation directions DE--EN and EN--DE. The system uses Moses as a backbone, with the outputs of the 2--3 best individual systems being integrated through additional phrase tables. The system compares well to other system combination submissions, with no other submission being significantly better. A BLEU-based comparison to the individual systems, however, indicates that it achieves no significant gains over the best individual system.