The standard approach is to train two models independently and then intersect their predictions ( Och and Ney 2003 ) .
a systematic comparison of various statistical alignment models
Franz Josef Och Hermann Ney
In practice , we see that the choice of which language is source versus target matters and changes the mistakes made by the model ( the first row of panels in Figure 1 ) . The standard approach is to train two models independently and then intersect their predictions ( Och and Ney 2003 ) . However , we show that it is much better to train two directional models concurrently , coupling their posterior distributions over alignments to approximately agree .
The standard approach is to train two models independently and then intersect their predictions ( @@CITATION ) .