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Max-Margin Synchronous Grammar Induction for Machine Translation
2013
Conference on Empirical Methods in Natural Language Processing
Traditional synchronous grammar induction estimates parameters by maximizing likelihood, which only has a loose relation to translation quality. Alternatively, we propose a max-margin estimation approach to discriminatively 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
dblp:conf/emnlp/XiaoX13
fatcat:behu5l6oprg7rdetprjamgsoia