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This paper describes the TALP participation in the WMT13 evaluation campaign. Our participation is based on the combination of several statistical machine translation systems: based on standard hrasebased
Moses systems. Variations include techniques such as morphology generation, training sentence filtering, and domain adaptation through unit derivation.
The results show a coherent improvement on TER, METEOR, NIST, and BLEU scores when compared to our baseline system.
CitationFormiga, L. [et al.]. The TALP-UPC phrase-based translation systems for WMT13: system combination with morphology generation, domain adaptation and corpus filtering. A: Workshop on Statistical Machine Translation. "Proceedings of the Eighth Workshop on Statistical Machine Translation". Sofia: 2013, p. 134-140.
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