Abstract
We use the Margin Infused Relaxed Algorithm of Crammer et al. to add a large number of new features to two machine translation systems: the Hiero hierarchical phrase-based translation system and our syntax-based translation system. On a large-scale Chinese-English translation task, we obtain statistically significant improvements of +1.5 BLEU and + 1.1 BLEU, respectively. We analyze the impact of the new features and the performance of the learning algorithm. © 2009 Association for Computational Linguistics.
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CITATION STYLE
Chiang, D., Knight, K., & Wang, W. (2009). 11,001 new features for statistical machine translation. In NAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 218–226). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1620754.1620786
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