Abstract
This paper describes the University of Washington's system for the 2009 International Workshop on Spoken Language Translation (IWSLT) evaluation campaign. Two systems were developed, one each for the BTEC Chinese-to-English and Arabic-to-English tracks. We describe experiments with different preprocessing and alignment combination schemes. Our main focus this year was on exploring a novel semi-supervised approach to N-best list reranking; however, this method yielded inconclusive results.
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CITATION STYLE
Yang, M., Axelrod, A., Duh, K., & Kirchhoff, K. (2009). The University of Washington Machine Translation System for IWSLT 2009. In 2009 International Workshop on Spoken Language Translation, IWSLT 2009 (pp. 124–128). International Society for Computers and Their Applications (ISCA). https://doi.org/10.3115/1626394.1626408
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