Machine Translation System Based on Intelligent Language Model

AI (Artificial intelligence) has entered a new stage of development, approaching the level of human intelligence as never before in history, from academia to application, from specialty to generality. Natural language processing is one of the main application fields of AI, which has made significant progress in recent years. It combines the progress of language theory and statistics with hardware technology, which makes Machine translation technology have a new change. This paper discusses the Machine translation system based on the intelligent language model. First, the concepts of the intelligent language model and the Machine translation system are introduced respectively. Then, the operation performance of the Machine translation system based on the intelligent language model is verified through experiments. Finally, it shows that the Machine translation system based on the intelligent language model is more meaningful for research.