Inspired by the supervised reordering in conventional SMT, in this paper, we propose a Supervised Attention based NMT (SA-NMT) model.
similar to conventional SMT, we first run offthe-shelf aligners (GIZA++ (Och and Ney, 2000) or fast align (Dyer et al., 2013) etc.)