METAPHORICAL LANGUAGE IN SPECIALIZED AND POPULAR SCIENTIFIC TEXTS

Author:

Vučković Zaga

Abstract

This study positions itself within the domain of analysing metaphor in naturally-occurring data. The use of metaphor often varies depending on many factors such as the context in which it is used, topic, audience, mode of communication and so on. This study specifically aims at investigating the differences and similarities in the use of metaphorical expressions between specialized and popular scientific texts. The research is based on the analysis of eight articles coming from four scientific disciplines: exact, life, social sciences, and humanities. A pair of texts comes from each discipline, one being a popular science article written by journalists for the general public, and the other being a research article written by scientists for their peers. All metaphorical language in the articles was identified using MIPVU, a systematic and transparent procedure for identifying linguistic metaphor. The findings indicate a pronounced difference in linguistic metaphor use between the two related text-types. These differences concern the frequencies, types, and functions of metaphorical language use. The variations in the use of metaphor proved to be largely explainable in terms of the differences in the components of genre and register.

Publisher

Faculty of Sports Union Nikola Tesla University, Serbia

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Digital Literacy in the Service of Science and Scientific Knowledge;International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE);2024-04-24

2. Ethical Aspects of Science and Technological Innovations;International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE);2023-08-31

3. Biographical method research in sport;Ekonomski signali;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3