We train on the output of a hierarchical reordering model-based system and scale to millions of features learned on hundreds of thousands of sentences ( §4).
we use the expected BLEU objective function (Rosti et al., 2010;Rosti et al., 2011;He and Deng, 2012;Gao and He, 2013;Gao et al., 2014;Green et al., 2014) which allows us to train models that use training data and feature sets that are two to three orders of magnitudes larger than in previous work ( §5).