The forward RNN(x 1:t ) represents the left context of word x t , whereas the backward RNN(x n:t ) computes a representation of the right context.
in this work, we aim to fill this gap by showing how information about predicate-argument structure of source sentences can be integrated into standard attentionbased NMT models (Bahdanau et al., 2015).