Neural Machine Translation (NMT) with attentional encoder-decoder architectures Bahdanau et al., 2015) has revolutionised machine translation, and achieved state-of-the-art for several language pairs.
nMT is notorious for its need for large amounts of bilingual data (Koehn and Knowles, 2017) to achieve reasonable translation quality.