Research on the Role of Artificial Intelligence in the Core of Intelligent Translation Systems.

With the development of the world economy and the expansion of foreign trade, the status of English as a global language in English teaching is increasingly elevated, and language translation is an indispensable link. In the new intelligent translation and reading system based on language models, its translation part includes at least one dictionary used for translation. The system includes: reading and writing database, loading module, editing module, label module, trigger module, annotation module, and word addition module. Among them, the read-write database is used to store literature; The loading module is used to load article materials as reading documents. It adopts natural language processing technology to save system translation and reading time and improve system efficiency. In order to test the advantages of the system used in this article, 200 vocabulary words were input into the system and compared with the traditional system for translation accuracy. The translation accuracy of the system in this article was 94.64%, while the translation accuracy of the traditional system was 83.34%. The system in this article helps to improve translation efficiency and enhance reading experience. [ABSTRACT FROM AUTHOR]