Neural Machine Translation (NMT) is an approach to language translation that uses artificial neural networks to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It has significantly improved translation quality by leveraging deep learning techniques to capture complex linguistic patterns and context, outperforming traditional statistical methods.