摘要
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.
基金
the National Natural Science Foundation of China(Grant Nos.U1836221 and 61673380)
the Beijing Municipal Science and Technology Project(Grant No.Z181100008918017)。
作者简介
Corresponding authors:ZHANG JiaJun,email:jjzhang@nlpr.ia.ac.cn;Corresponding authors:ZONG ChengQing,email:cqzong@nlpr.ia.ac.cn。
