Word embedding x t is integrated as new input information in recurrent neural networks for each prediction, but in recursive neural networks, no additional input information is used except the two representation vectors of the child nodes.
some global information , which cannot be generated by the child representations, is crucial for SMT performance, such as language model score and distortion model score.