Paper: Max-Margin Synchronous Grammar Induction for Machine Translation

ACL ID D13-1026
Title Max-Margin Synchronous Grammar Induction for Machine Translation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Traditional synchronous grammar induction estimates parameters by maximizing likeli- hood, which only has a loose relation to trans- lation quality. Alternatively, we propose a max-margin estimation approach to discrim- inatively inducing synchronous grammars for machine translation, which directly optimizes translation quality measured by BLEU. In the max-margin estimation of parameters, we only need to calculate Viterbi translations. This further facilitates the incorporation of various non-local features that are defined on the target side. We test the effectiveness of our max-margin estimation framework on a com- petitive hierarchical phrase-based system. Ex- periments show that our max-margin method significantly outperforms the traditional two- step pipeline for synchronous rule extr...