NMT is powered by deep learning and enjoys two advantages over traditional approaches such as rule-based machine translation and statistical machine translation - it does not require linguistic professional input, and it can take into account contextual information in the entire sentence, which leads to high quality and fluent translations. The limitation of NMT is that it requires a high scale of parallel data for model training.