We conclude from our analysis that a few linguistic facts can be very useful to predict the reordering characteristics of a language pair and to select the SMT approach that best suits them.
string-based PSMT is preferable for language pairs with only constituent-level differences, like French-English, as these mostly imply short-or medium-range reordering patterns that can be captured by local distortion.