Similar to N-gram based MT, it addresses three drawbacks of traditional phrasal MT by better handling dependencies across phrase boundaries, using source-side gaps, and solving the phrasal segmentation problem.
to Ngram based MT, our model has a generative story which tightly couples translation and reordering.