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In the era of artificial intelligence, computer-aided translation (CAT) tools are also constantly integrating and adding new functions based on artificial intelligence technology. The purpose is to further improve translation efficiency, shorten project cycle and reduce translation cost through the adoption of new technology. With the wide application of computer-aided translation tools in translation teaching and other fields, people put forward higher requirements for the human-machine interactive translation system based on artificial intelligence. Artificial intelligence technology, which can also be used as an educational technology, has been paid more attention to its application in teaching fields. AI-powered non-translatables function can efficiently assist automatic pre-translation and post-editing. This thesis analyzes the processing and application of AI-powered non-translatables function in computer-aided translation, and expects to provide reference for the development of computer-aided translation industry and education based on artificial intelligence and help for the research of artificial intelligence in natural language processing and computer-aided translation.
Hao Xing (Fri,) studied this question.