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作 者:汤慧桃
机构地区:[1]苏州大学外国语学院,江苏 苏州
出 处:《教育进展》2023年第5期2557-2568,共12页Advances in Education
摘 要:本研究从自然语言处理视角出发,使用R软件,对近五年专八听力微型讲座(mini-lecture)展开自然语言处理分析,内容涉及文本特征,词类特征(包括词汇密度、词频、词汇多样性)、文本复杂度等,希望加深广大考生对该题型认识程度,也对考生备考和高校英语专业听力教学提供一些思考与启示。研究发现微型讲座(mini-lecture)的文本长度总体呈现增长趋势,存在听力讲座中词汇复杂化的趋势,词汇密度波动较小,文本内容较为充实,文本复杂度波动极大。From the perspective of natural language processing, this study employs R to analyze the section of mini-lectures in TEM8 of the past five years, including textual and lexical features (namely, lexical density, lexical frequency and lexical diversity), text complexity, etc. This study is aimed to deepen students’ understanding of this section in TEM8, thus providing some enlightenment for the preparation of this test and teaching of listening for college English majors. The results of this study are listed as follows: 1) there exists an increasing trend in the text length and lexical complexity of mini-lectures. 2) There exists a slight fluctuation in lexical density, which indicates that the text content is relatively rich. 3) There exists a significant fluctuation in text complexity.
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