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Academic Paper


Title: Nominalizations in Scientific and Political genres: A systemic functional linguistics perspective.
Paper URL: http://www.iaset.us/view_archives.php?year=2014_14_2&id=72&jtype=2&page=2
Author: Bahram Kazemian
Email: click here TO access email
Homepage: https://www.researchgate.net/profile/Bahram_Kazemian4/?ev=hdr_xprf
Institution: Islamic Azad University, Tabriz
Linguistic Field: Applied Linguistics
Abstract: Language, science and politics go together and learning these genres is to learn a language created for codifying, extending and conveying scientific and political knowledge. Grammatical metaphor is divided into two broad areas: ideational and interpersonal. This article focuses on the first type of grammatical metaphor, i.e. the ideational one, which includes process types and nominalization. The principal objective of the current work is to analyze a corpus comprising 10 scientific and 10 political texts. The Ideational Grammatical Metaphor framework was used to carry out an analysis on these texts to pinpoint their similarities and dissimilarities. The analysis indicates that Ideational Grammatical Metaphor has dominated political and scientific texts and is used approximately with the same frequency in both genres and the prevailing process types in both are material and relational types. Consequently, the tone of the writing is more abstract, pretentious and formal. In science, instances of IGM enable technicalizing and rationalizing; and in politics they deal with dominance, provocation, persuasion toward an intended objective. Based on the findings of this study, some implications can be drawn for academic writing and reading as well as translators and teachers involved in writing and reading pedagogy.
Type: Individual Paper
Status: Completed
Publication Info: International Journal of Humanities and Social Sciences (IJHSS) ISSN(P): 2319-393X; ISSN(E): 2319-3948 Vol. 3, Issue 2, Mar 2014, 211-228 © IASE
URL: http://www.iaset.us/view_archives.php?year=2014_14_2&id=72&jtype=2&page=2


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