Machine Translation / Computer-assisted Human Translation

Machine translation has achieved successes; especially in the last decade, statistical machine translation (SMT) systems have replaced some human labors in practical workflows and neural machine translation (NMT) systems even surpass them. However, it still cannot meet the strict requirements for high quality translations in real-world applications. We are working on improving NMT and SMT systems from various aspects. Besides, we are also exploring practical means of using SMT/NMT and other NLP technologies to improve productivity of human translation.