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INTERSPEECH 2006- ICSLP Cross-lingual Dialog Model for Speech to Speech Translation
In: http://sail.usc.edu/publications/emil-icslp2006.pdf
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The ISI/USC MT System
In: http://www.mt-archive.info/IWSLT-2004-Thayer.pdf
Abstract: The ISI/USC machine translation system is a statistical sys-tem based on a phrase translation model that is trained on bilingual parallel data. This translation model is combined with several other knowledge sources in a log-linear manner. The weights of the individual components in the log-linear model are set by an automatic parameter-tuning method. The system described here has been developed for translating news text, and is a simplified version of the one we partic-ipated with in the NIST 2004 MT evaluation. We give a brief overview of the components of the system and discuss its performance at IWSLT. 1. The ISI/USC Machine Translation System Our machine translation system uses a log-linear model to combine several different knowledge sources into a direct
URL: http://www.mt-archive.info/IWSLT-2004-Thayer.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.6748
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