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交际者编码话语言语行为的关联策略:理解认知和语言过程在交际中作用的跨学科方法。

Association Strategies of Speech Behavior of Communicators in Coding Discourse: An Interdisciplinary Approach Towards Understanding the Role of Cognitive and Linguistic Processes in Communication.

机构信息

Department of Foreign Languages of Philological Faculty, Peoples Friendship University of Russia Named after Patrice Lumumba, RUDN University), Moscow, Russia.

Laboratory of Machine Learning and Semantic Analysis, Institute of Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia.

出版信息

J Psycholinguist Res. 2023 Oct;52(5):1571-1587. doi: 10.1007/s10936-023-09966-z. Epub 2023 May 6.

Abstract

In modern media, the names of fairy-tale and mythological images are used to convey certain emotions and connotations. The aim of the study is to analyze the characteristic associative strategies presented with the mythological images of a dragon, a paper tiger and a chimera in news texts of European and Chinese mass media. In this article, the method of text analysis was used to identify patterns and the most possible interpretations of lexical units. 100 articles from Chinese and European publications were selected for the analysis (About People's Daily Online, China News Service, Guardian and France 24). The required lexemes were most widely used in articles on political topics. The most used was the image of a paper tiger (4001 and 3587 units). This is due to its well-known metaphorical meaning in both cultures, while dragon differs in Chinese and European ones. Further research may focus on the search and analysis of other fairy tale and mythological images in mass media. The present study results may also be applied for further research in the field of linguistics and journalism.

摘要

在现代媒体中,童话和神话形象的名称被用来传达某些情感和内涵。本研究的目的是分析在中西方媒体新闻文本中,龙、纸老虎和奇美拉等神话形象所呈现的特征联想策略。在本文中,采用文本分析的方法来识别词汇单位的模式和最可能的解释。从中国和欧洲的出版物中选择了 100 篇文章进行分析(人民网、中国新闻网、卫报和法国 24 台)。在政治主题的文章中,最广泛使用的是纸老虎这一形象(4001 和 3587 个单位)。这是由于其在两种文化中都有众所周知的隐喻意义,而龙在中西方文化中则有所不同。进一步的研究可能集中在大众媒体中其他童话和神话形象的搜索和分析上。本研究结果也可应用于语言学和新闻领域的进一步研究。

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