Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
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
Efficient handling of N-gram language models for statistical machine translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
MaTrEx: the DCU MT system for WMT 2008
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Hybrid example-based SMT: the best of both worlds?
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Combining EBMT, SMT, TM and IR technologies for quality and scale
EACL 2012 Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
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We describe OpenMaTrEx, a free/open-source example-based machine translation (EBMT) system based on the marker hypothesis, comprising a marker-driven chunker, a collection of chunk aligners, and two engines: one based on a simple proof-of-concept monotone EBMT recombinator and a Moses-based statistical decoder. Open-MaTrEx is a free/open-source release of the basic components of MaTrEx, the Dublin City University machine translation system.