However, distortion model can not model long-distance reordering, due to the lack of context information, thus is difficult to predict correct orders under different circumstances.
while phrase-based SMT moves from words to phrases as the basic unit of translation, implying effective local reordering within phrases, it suffers when determining phrase reordering, especially when phrases are longer than three words (Koehn et al., 2003).