Research on Overcoming about Language Barriers of AI Machine Translation replacing Interpreting under Information Technology

Today, as new technologies continue to iterate, it seems that everything has been given the AI soul. However, despite the rapid development of artificial intelligence, there are still many shortcomings, especially in terms of interpreting The purpose of this paper is to analyze the language barriers that AI machine translation needs to overcome to replace interpreting. Through the literature review method, case analysis method, experience summary method, comparative analysis and other research methods, this paper proposes the language barriers that AI machine translation needs to overcome to analyze. The reason why these obstacles are difficult to break through. By analyzing the impact of AI machine translation on the interpreting industry, some suggestions were given to interpreters, and through questionnaires, people's attitudes towards AI machine translation replacing interpreters were understood. The research results show that the difficulty of AI machine translation to replace interpreting is mainly due to the subjectivity of language, lack of understanding of humor and other emotions in big data, and difficulty in accurately recognizing speech. 38% believe that the main obstacle is the lack of emotion in AI machine translation, 28% think that the main obstacle is the subjectivity of language, and 25% think that the main obstacle is the problem of language recognition. Changes in the working environment of interpreters have put forward new and higher requirements on the capabilities and qualities of interpreters, and they need to learn and master advanced translation technologies to substantially improve the quality and efficiency of interpreting.