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Empowering Interpreting Teaching with LLMs: A Research on the AI-Aided Teaching Path for Interpreters Training

Yaqi Xu, Jiachen Dong

Abstract


This paper takes the DeepSeek large language model as an example to analyze the ways in which LLMs empower interpreting
teaching, aiming to explore the application value of LLMs in interpreting training and teaching. The study finds that DeepSeek can provide
with functions such as corpus resources for training on relevant topics, speech -to-text conversion, and assisting in interpreting research during
the pre-interpreting, while-interpreting, and post-interpreting processes of interpreting teaching.

Keywords


Large Language Model; Interpreting Training; DeepSeek

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References


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DOI: http://dx.doi.org/10.70711/wef.v2i10.6591

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