基于深度学习的5P实战模拟口译教学研究

5P Simulated Interpreting Teaching Based on Deep Learning

社会迫切需要能快速适应社会变革、具备服务国家战略需求能力的口译人才。然而,传统口译教学缺乏真实场景的训练,学生口译学习很少深入实践,无法适应和驾驭职场真实复杂的口译环境。针对这一问题,口译课堂教学尝试实施模拟口译项目。以深度学习为理论支持,关联社会服务实际,创设口译职场情境,提出项目预设、译前准备、现场口译、评估总结和拓展完善的5P模拟口译项目教学模式。通过分析学生的口译表现数据和教学反馈信息,此项目提升了学生的口译实战能力,学生口译学习过程和结果均呈现出深度化的特征。5P模拟口译项目教学模式为口译领域的深度学习提供实证研究和学术探索,为口译教育的创新发展提供相应的依据。

There is a pressing need in society for interpreters who can quickly adapt to social changes and possess the ability to serve national strategies.However,traditional interpreting education lacks training in authentic scenarios,and students'interpreting learning rarely delves into practical aspects,making it difficult for them to adapt to and navigate real and complex interpreting environments.To address this issue,the simulated interpreting project has been implemented and explored in interpreting courses.This project,supported by deep learning theory and connected to real social service scenarios,creates interpreting workplace contexts and proposes a 5P practical project-based teaching model for interpreting,which includes“Presupposing,Preparing,Performing,Packaging and Perfecting”.By analyzing students'interpreting performance data and feedback,it is found that this project can help to enhance students'practical interpreting abilities,demonstrating a deepened understanding throughout the process and outcomes of their interpreting learning.This research provides empirical evidences and academic exploration for the application of deep learning in the field of interpreting and offers a foundation for innovative development in interpreting education.