Application of Natural Language Processing Technology in Foreign Language Teaching

This paper will summarize the development and current situation of the application of natural language processing technology in foreign language teaching. According to the comprehensive literature, the application of NLP in foreign language teaching has gradually upgraded from the initial application in writing assessment and grammar error correction to the key technology supporting personalized learning and resource generation. It is estimated that it will develop in the direction of human-machine collaboration in the future. This paper will first clarify the use of NLP in foreign language teaching scenarios such as automatic marking and personalized learning, and then analyze the problems that affect the actual effect of technology, such as feedback engagement and learner differences. Finally, it will discuss the technical challenges, ethical considerations and future directions in the context of the large language model, so as to provide reference for the realization of more efficient and responsible technologies in the future, and provide literature support for the development of foreign language teaching in the future.