Current state-of-the-art neural machine translation (NMT) uses a deep multi-head selfattention network with no explicit phrase information.
prior work on statistical machine translation has shown that extending the basic translation unit from words to phrases has produced substantial improvements, suggesting the possibility of improving NMT performance from explicit modeling of phrases.