The TALP & I2R SMT Systems for IWSLT 2008
Maxim Khalilov, Carlos A. Henr, Adolfo Hern, Rafael E. Banchs, Boxing Chen, M. Zhang, Ai Ti Aw, Haizhou Li · 2008
This paper gives a description of the statistical machine translation (SMT) systems developed at the TALP Research Center of the UPC (Universitat Politde Catalunya) for our participation in the IWSLT'08 evaluation campaign. We present N gram-based (TALPtuples) and phrase-based (TALPphrases) SMT systems. The paper explains the 2008 systems' architecture and outlines translation schemes we have used, mainly focusing on the new techniques that are challenged to improve speech-to-speech translation quality. The novelties we have introduced are: improved reorder- ing method, linear combination of translation and reordering models and new technique dealing with punctuation marks insertion for a phrase-based SMT system. This year we focus on the Arabic-English, Chinese- Spanish and pivot Chinese-(English)-Spanish translation tasks.