This paper gives a description of the statistical machine
translation (SMT) systems developed at the TALP Research
Center of the UPC (Universitat Polit`ecnica de Catalunya)
for our participation in the IWSLT’08 evaluation campaign.
We present Ngram-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 reordering
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
CitationKhalilov, M. [et al.]. The TALP & I2R SMT Systems for IWSLT 2008. A: International Workshop on Spoken Language Translation. "International Workshop on Spoken Language Translation". Waikiki, Hawai: NICT/ATR, 2008, p. 116-123.
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