Hopkins and May, EMNLP 2011. Tuning as Ranking
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Citation
Mark Hopkins and Jonathan May. 2011. Tuning as Ranking. In Proceedings of EMNLP-2011.
Online Version
Summary
This paper presents a simple and scalable method for statistical machine translation parameter tuning based on the pairwise approach to ranking. This pairwise ranking optimization (PRO) method has advantages over MERT Och, 2003 as it is not limited to a handful of parameters and can easily handle systems with thousands of features. In addition, unlike recent approaches built upon the MIRA algorithm of Crammer and Singer, 2003 (Watanabe et al., 2007), PRO is easy to implement.
