In the past decade we have seen an amazing revival of machine translation (MT) as the major field of research in computational linguistics. Many reasons can be mentioned to explain this phenomenon: Globalization and the success of the Internet may be one of them forcing companies and individuals to adapt to a multilingual

This paper describes the DCU machine translation system in the evaluation campaign of the Joint Fifth Workshop on Statistical Machine Translation and Metrics in ACL-2010. We describe the modular design of our multi-engine machine translation (MT) system with particular focus on the components used in this participation. We participated in the English– Spanish and English–Czech translation tasks, in which we employed our multiengine architecture to translate. We also participated in the system combination task which was carried out by the MBR decoder and confusion network decoder. 1