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Computer Science @ Rochester
Friday, October 03, 2008
2:00 PM
CSB 632
Sam Zhao
University of Rochester
Finding massive and accurate translation pairs from the web
Statistical machine translation is a supervised learning problem, requiring a huge amount of training data to make the system produce good quality translations. Given that high quality bilingual text is expensive to get, we propose a method to mine massive and accurate translation pairs from the web. Adding these translation pairs to a translation system shows significant improvement in terms of translation quality. We further propose a novel evaluation method using Wikipedia.