To verify that the inconsistency between BLEU and human evaluation scores is due to name spelling variations which humans capture but automatic metrics does not, we recomputed BLEU scores after normalizing spellings of the system outputs to be consistent with the reference translation spelling.
incorrect name classing at the pre-processing step hurts the translation quality for the system name_t.