Neural machine translation is a machine translation approach that uses neural networks to translate text or speech between human languages. It typically models whole sequences and context rather than relying only on phrase-based or rule-based translation components.
An approach to machine translation that uses a large artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.