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The ITI Statistical Machine Translation System. Proceedings of the TC-Star Speech to Speech Translation Workshop, 2006. pp. 49-55.We describe one translation system currently under development at ITI. One of its major features is the use of a phrase based approach: he elementary units of translation are sequences of consecutive words thereby improving the performance in comparison to single word pproaches. The use of a monotonicity assumption makes search feasible. In this work, different methods for the selection of the egments, the training of the parameters and search algorithms are discussed. They are experimentally assessed.