Abstract
With the rapid development of artificial intelligence technology, Large Language Models (LLMs) have brought unprecedented opportunities and challenges to translation education. LLMs have significantly enhanced translation quality and efficiency through deep learning and self-attention mechanisms, profoundly impacting traditional translation teaching methods. However, they face difficulties in processing polysemous words and ambiguous sentences, and their training is costly. Additionally, the use of LLMs raises ethical, privacy, and security concerns. The paper proposes reform strategies, including generating and analyzing translation teaching materials, constructing intelligent translation teaching platforms, developing translation studies knowledge models, enhancing teachers’ technical literacy and innovative teaching abilities, and strengthening translation ethics education and a sense of responsibility. These strategies aim to effectively integrate LLMs with translation teaching to improve the quality and effectiveness of translation education, ultimately underscoring the importance of ethical education to navigate the complexities of LLM applications in translation, aiming to foster a new era of translation education that is both innovative and responsible.
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