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出 处:《外语测试与教学》2025年第1期18-30,共13页Foreign Language Testing and Teaching
基 金:国家社会科学基金项目“中国德语学习者语料库建设与德语语言能力发展研究”(项目编号:20BYY103)的阶段性成果。
摘 要:当前国内外对德语阅读文本复杂度的研究较为匮乏,缺少可供参考的客观标准。本研究聚焦德语专业四级考试的阅读语篇,尝试构建德语阅读文本复杂度评估框架。基于在线语言处理工具CTAP,结合Python编程技术,本研究系统分析了2012—2022年间德语专四考试阅读材料。通过对53个预设语言复杂度指标进行统计检验,识别出9项指标与阅读得分率呈现显著相关,其中8项被认定为衡量德语阅读文本难度的关键因素。本研究构建的复杂度评估框架不仅为理解德语阅读材料的难易程度提供了量化依据,而且对德语教材编写与考试命题具有实践指导意义。Currently there is a scarcity of research on the complexity of German reading texts,both domestically and internationally,resulting in a lack of objective standards for reference.This study focuses on the reading passages of the PGG(Prüfung für das Germanistik-Grundstudium,Test for German Majors Grade 4),aiming to construct a framework for assessing the complexity of German reading texts.Combining the online language processing tool CTAP with Python programs,this study systematically analyzed the reading materials from the PGG between 2012 and 2022.Through statistical analysis of 53 predetermined linguistic complexity indicators,nine indicators were identified as significantly correlated with reading score rates,eight of which were recognized as key factors in assessing the difficulty of German reading texts.The complexity assessment framework constructed in this study not only provides a quantitative basis for understanding the difficulty of German reading materials,but also offers practical guidance for compiling German textbooks and designing examinations.
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