Based on this advise ( Moore and Quirk , 2007 ) exclude the latent segmentation variables and opt for a heuristic training procedure .
an iterativelytrained segmentationfree phrase translation model for statistical machine translation
Quirk
The most similar efforts to ours , mainly ( DeNero et al. , 2006 ) , conclude that segmentation variables in the generative translation model lead to overfitting while attaining higher likelihood of the training data than the heuristic estimator . Based on this advise ( Moore and Quirk , 2007 ) exclude the latent segmentation variables and opt for a heuristic training procedure . In this work we also start out from a generative model with latent segmentation variables .
Based on this advise ( Moore and @@CITATION ) exclude the latent segmentation variables and opt for a heuristic training procedure .