We assume here that the MT system is capable of providing word alignment (or equivalent) information during decoding, which is generally true for current statistical MT systems.
two types of semantic role features are proposed in this paper: a semantic role reordering feature designed to capture the skeletonlevel permutation, and a semantic role deletion fea-ture designed to penalize missing semantic roles in the target sentence.