Machine Translation is an international academic journal dedicated to research and progress in the field of machine translation. This journal aims to provide a communication platform for researchers, engineers, and linguists to explore the theories, methods, evaluations, and applications of automated translation systems. It not only focuses on technical details, but also involves practical issues such as translation quality assessment, translation memory, terminology management, and post translation editing.
The core research areas of this journal include but are not limited to machine translation algorithms, natural language processing techniques, translation memory, terminology management, translation evaluation criteria, post translation editing processes, and the application of machine translation in different language pairs and professional fields. The target audience is mainly scholars, engineers, translation workers engaged in natural language processing and machine translation research, as well as graduate and undergraduate students interested in machine translation technology and applications.