Unsupervised or semi-supervised probabilistic word alignment models do not play a central role in neural machine translation (NMT) (Bahdanau et al., 2015;Sutskever et al., 2014;Luong et al., 2015;Chung et al., 2016).
attention models, which are crucial for high-quality NMT, have been augmented with ideas from statistical word alignment (Luong et al., 2015;Cohn et al., 2016).