The TALP-UPC phrase-based translation systems for WMT12: Morphology simplification and domain adaptation.

This paper describes the UPC participation in the WMT 12 evaluation campaign. All systems presented are based on standard phrase-based Moses systems. Variations adopted several improvement techniques such as morphology simplification and generation and domain adaptation. The morphology simplification overcomes the data sparsity problem when translating into morphologically-rich languages such as Spanish by translating first to a morphology-simplified language and secondly leave the morphology generation to an independent classification task. The domain adaptation approach improves the SMT system by adding new translation units learned from MT-output and reference alignment. Results depict an improvement on TER, METEOR, NIST and BLEU scores compared to our baseline system, obtaining on the official test set more benefits from the domain adaptation approach than from the morphological generalization method.