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            <title>Proceedings of the 6th International Workshop on Spoken Language Translation: Evaluation Campaign</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T The University of Washington machine translation system for IWSLT 2009
%A Yang, Mei
%A Axelrod, Amittai
%A Duh, Kevin
%A Kirchhoff, Katrin
%S Proceedings of the 6th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2009
%8 dec 1 2
%C Tokyo, Japan
%F yang-etal-2009-university
%X 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.
%U https://aclanthology.org/2009.iwslt-evaluation.19/
%P 124-128

Markdown (Informal)

[The University of Washington machine translation system for IWSLT 2009](https://aclanthology.org/2009.iwslt-evaluation.19/) (Yang et al., IWSLT 2009)

• The University of Washington machine translation system for IWSLT 2009 (Yang et al., IWSLT 2009)

ACL

• Mei Yang, Amittai Axelrod, Kevin Duh, and Katrin Kirchhoff. 2009. The University of Washington machine translation system for IWSLT 2009. In Proceedings of the 6th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 124–128, Tokyo, Japan.