Our work is built upon the attention-based NMT (Bahdanau et al., 2015), which takes a sequence of vector representations of the source sentence generated by a RNN or bi-directional RNN as input, and then jointly learns to align and translate by reading the vector representations during translation with a RNN decoder.
we take an overview of the attention-based NMT in this section before detail the NMT IA in next section.