It uses a similarity model for synonym matching and a distortion model for word ordering.
to previous methods, the similarity model explicitly incorporates both semantic and surface word similarity, which is critical to monolingual word alignment, and a smoothed distance-based distortion model is used to model the first-order dependency of word ordering, which is shown to be better than simpler approaches.