( Watanabe et al. , 2007 ; Chiang et al. , 2008 ; Hopkins and May , 2011 ) proposed other optimization objectives by introducing a margin-based and ranking-based indirect loss functions .
tuning as ranking
Mark Hopkins Jonathan May
( Och and Ney , 2002 ; Blunsom et al. , 2008 ) used maximum likelihood estimation to learn weights for MT. ( Och , 2003 ; Moore and Quirk , 2008 ; Zhao and Chen , 2009 ; Galley and Quirk , 2011 ) employed an evaluation metric as a loss function and directly optimized it . ( Watanabe et al. , 2007 ; Chiang et al. , 2008 ; Hopkins and May , 2011 ) proposed other optimization objectives by introducing a margin-based and ranking-based indirect loss functions . All the methods mentioned above train a single weight for the whole development set , whereas our local training method learns a weight for each sentence .
( Watanabe et al. , 2007 ; Chiang et al. , 2008 ; @@CITATION ) proposed other optimization objectives by introducing a margin-based and ranking-based indirect loss functions .