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This paper describes our Statistical Machine Translation systems for the WMT10 evaluation, where LIMSI participated for two language pairs (French-English and German-English, in both directions). For German-English, we concentrated on normalizing the German side through a proper preprocessing, aimed at reducing the lexical redundancy and at splitting complex compounds. For French-English, we studied two extensions of our in-house N-code decoder: firstly, the effect of integrating a new bilingual reordering model; second, the use of adaptation techniques for the translation model. For both set of experiments, we report the improvements obtained on the development and test data.