Zhang Junxiu
College of International Education, Bohai University, Jinzhou 121213, China.
J Environ Public Health. 2022 Aug 18;2022:3033943. doi: 10.1155/2022/3033943. eCollection 2022.
The status of French as a language has improved to some extent in recent years as a result of the exchange and blending of cultures from various nations. Each language, including French, must undergo a protracted process in order to become more widely spoken. It is essential to develop top-notch French interpreters in order to lower the barriers preventing cross-border communication. The teaching of French interpretation has recently received more attention in many colleges, but the issue of a single teaching method has long persisted. In recent years, a new approach to teaching the liberal arts has emerged. Its main goal is to implement comprehensive interdisciplinary teaching by fusing contemporary information technology with traditional liberal arts instruction. This paper conducted a cutting-edge study on the teaching method of French interpretation against the backdrop of the new liberal arts in order to alter the teaching strategy and increase teaching effectiveness. In this paper, an intelligent interpretation teaching system was constructed using information technology. Through text classification algorithms, it incorporated and optimized teaching resources. According to the experimental findings, the teaching process was optimized, and the teaching efficiency increased by 7.94% when French interpretation was taught against a backdrop of new liberal arts.
近年来，由于各国文化的交流与融合，法语作为一门语言的地位有所提高。包括法语在内的每一种语言都必须经历一个漫长的过程才能被更广泛地使用。培养顶尖的法语口译员对于降低跨境交流的障碍至关重要。法语口译教学最近在许多高校受到了更多关注，但单一教学方法的问题长期存在。近年来，一种新的文科教学方法出现了。其主要目标是通过将当代信息技术与传统文科教学相结合来实施全面的跨学科教学。本文在新文科的背景下对法语口译教学方法进行了前沿研究，以改变教学策略并提高教学效果。本文利用信息技术构建了一个智能口译教学系统。通过文本分类算法，它整合并优化了教学资源。根据实验结果，教学过程得到了优化，在新文科背景下教授法语口译时教学效率提高了7.94%。
