Research Area:  Machine Learning
Machine translation (MT) is a technique that leverages computers to translate human languages automatically. Nowadays, neural machine translation (NMT) which models direct mapping between source and target languages with deep neural networks has achieved a big breakthrough in translation performance and become the de facto paradigm of MT. This article makes a review of NMT framework, discusses the challenges in NMT, introduces some exciting recent progresses and finally looks forward to some potential future research trends.
Author(s) Name:  JiaJun Zhang & ChengQing Zong
Journal name:  Science China Technological Sciences
Publisher name:  Springer
Volume Information:  volume 63, pages 2028–2050
Paper Link:   https://link.springer.com/article/10.1007/s11431-020-1632-x