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Faster MT decoding through pervasive laziness

NAACL-HLT 2009 - Human Language Technologies: 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Short Papers (2009) 141-144
DOI: 10.3115/1620853.1620893
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Abstract

Syntax-based MT systems have proven effective—the models are compelling and show good room for improvement. However, decoding involves a slow search. We present a new lazy-search method that obtains significant speedups over a strong baseline, with no loss in Bleu.

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APA

Pust, M., & Knight, K. (2009). Faster MT decoding through pervasive laziness. In NAACL-HLT 2009 - Human Language Technologies: 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Short Papers (pp. 141–144). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1620853.1620893

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