10 Previous work on sparse reordering models was restricted to small data sets (Cherry, 2013) due to the limited ability of standard machine translation optimizers to handle more than a few thousand sentences.
recent attempts to scale the margin-infused relaxation algorithm, a variation which was also used by Cherry (2013), to larger data sets showed that more data does not necessarily help to improve test set accuracy for large feature sets (Eidelman et al., 2013).