The recursive autoencoders, which are trained on reordering examples extracted from word-aligned bilingual corpus, are capable of producing vector space representations for arbitrary multi-word strings in decoding.
our model takes the whole phrases rather than only boundary words into consideration when predicting phrase permutations.