Here both the baseline and LRSM fail to obtain the right translation for the word "n" because "palestine" has a higher probability than "pakistan" (0.0374 vs 0.0285).
in our model, the long-distance dependencies between ("musharraf", "pakistan") and ("taliban", "pakistan") help the decoder correctly choose the translation "pakistan" for "n".