Natural language and machine translation

Based on the basic knowledge and methods of natural language processing and understanding in the course of “Computational Linguistics”, this course will focus on the problem of "machine translation" in intelligent natural language processing. The course will introduce the main problems in the development of machine translation system, the development process of machine translation and the latest cutting-edge progress of machine translation in recent years, focusing on the mainstream methods in the field of machine translation: rule-based method, example-based method, popular statistical method, segmentation-based method and relatively cutting-edge deep learning machine translation. In addition, this course will also discuss the evaluation of machine translation, as well as the main participants and commercialization status in this field.