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出 处:《汉日语言对比研究论丛》2022年第1期258-275,共18页
摘 要:本文以扩展意义单位模型为分析框架,利用日本三大报纸中中国新冠肺炎疫情相关新闻语料自建新闻语料库,根据中日新冠肺炎疫情发展时间线将语料分为3个阶段,利用统计学工具KH Coder对3个阶段节点词的共现关系进行统计,并对统计结果进行深入分析。我们发现,日本主流报纸主要从现状、措施、影响等方面展开论述,3个阶段对中国新冠肺炎疫情的相关报道经历了“中性偏积极—中性偏消极—两极分化的复杂倾向”的语义韵变化。Using the model of extended units of meaning as the analytical framework,this study constructed a self-built news corpus based on China-related reports during the outbreak of COVID-19 in 2020 from three Japan mainstream newspapers.The corpus was divided into three stages according to the time line of the development of COVID-19 in China and Japan.KH Coder was used to analyze the co-occurrence relationship of node words in three stages.The statistical results show that these mainstream newspapers mainly focused on the current situation,measures and impacts.Also their reports on COVID-19 in China featured a semantic change of“neutral to positive—neutral to negative—complex tendency of polarization”.
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