Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning

Linguistic resources such as part-ofspeech (POS) tags have been extensively used in statistical machine translation (SMT) frameworks and have yielded better performances. However, usage of such linguistic annotations in neural machine translation (NMT) systems has been left under-explored.