The advent of Neural Machine Translation (NMT) (Sutskever et al., 2014;Bahdanau et al., 2014) has led to remarkable improvements in machine translation quality (Bentivogli et al., 2016) but has also produced models that are much less interpretable.
the role played by linguistic features in the process of understanding the source text and rendering it in the target language remains hard to gauge.