This paper describes the UPC participation in the WMT 12 evaluation campaign. All sys- tems presented are based on standard phrase- based Moses systems. Variations adopted sev- eral improvement techniques such as mor- phology simplification and generation and do- main adaptation. The morphology simpli- fication overcomes the data sparsity prob- lem when translating into morphologically- rich languages such as Spanish by translat- ing first to a morphology-simplified language and secondly leave the morphology gener- ation to an independent classification task. The domain adaptation approach improves the SMT system by adding new translation units learned from MT-output and reference align- ment. Results depict an improvement on TER, METEOR, NIST and BLEU scores compared to our baseline system, obtaining on the of- ficial test set more benefits from the domain adaptation approach than from the morpho- logical generalization method.

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