Original:  We investigate multiple , representative strategies for cross-view coding, of which the granularity consistent attention (GCA) strategy proves the most efficient and effective in the experiments on  neural machine translation task . Especially, GCA surpasses the previous state-of-the-art architecture on three machine translation datasets.
Revised:  We investigate multiple , representative strategies for cross-view coding, of which the granularity consistent attention (GCA) strategy proves the most efficient and effective in the experiments on neural machine translation task , surpassing the previous state-of-the-art architecture on three machine translation datasets.
Edit intent: clarity