A Study on Post-editing Strategies in the Translation of Multimodal Texts under the Background of Artificial Intelligence: With Examples from Children's Picture Books

Abstract

With nearly 70 years of development, artificial intelligence technology has made many major breakthroughs. Machine translation based on artificial intelligence technology is becoming more and more powerful. Machine translation has greatly improved the quality and efficiency of translation, but there are still some deficiencies. In order to improve the quality of machine translation, post-editing is becoming more and more important. This thesis attempts to explore the post-editing machine translation of children's picture books in the framework of multimodal discourse analysis, in the hope of benefiting the development of post-editing research and providing reference for the translation practice of children's picture books.