Overall, the fluency of the MT output improves when NMT is used, and the number of lexical choice errors is also reduced.
state-of-the-art NMT approaches based on an encoder-decoder architecture with an attention mechanism as introduced by  exhibit weaknesses that sometimes lead to MT errors which a phrase-based MT system does not make.