自然语言处理技术在外语课程思政中的应用--以德语报刊阅读课程中“可持续发展”的话语建构为例

Application of Natural Language Processing Technology in Mining Ethical Elements in Foreign Language Education:A Case Study on the Discourse Construction of“Sustainable Development” in the Course of German Newspaper Reading

随着课程思政改革的不断深入,如何运用自然语言处理技术进行思政元素挖掘成为一个值得探究的课题。本文以自建课程思政语料库为例,阐述了如何运用自然语言处理技术来挖掘思政元素。笔者以Ruth Wodak的话语分析理论为基础,采用了基于信息贡献度的主题词提取、词向量、索引行提取等自然语言处理方法,针对德语报刊阅读课程中“可持续发展”话题挖掘思政元素。研究结果显示,自然语言处理技术在课程思政元素挖掘方面取得了显著成效,对外语教学具有重要意义。

In light of the ongoing reform in Curriculum-Based Ethical Awareness in education,this paper aims to investigate the application of natural language processing technology to extract Ethical elements.Utilizing a self-constructed Sino-German newspaper corpus,the author demonstrates the application of NLP techniques in uncovering these elements.The study incorporates Ruth Wodak's discourse analysis theory and employs various NLP methods,including informativenessbased keyword extraction,word vector analysis,and concordance extraction.The primary focus is on exploring ethical elements within the context of“sustainability”in the“German Newspaper Reading”course.The findings highlight the effectiveness of natural language processing techniques in revealing ethical aspects in the curriculum,showcasing their significant relevance in foreign language teaching.