Volume 26, Issue 2 (2019)                   IQBQ 2019, 26(2): 70-86 | Back to browse issues page

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Yousefi Rad F, Motesharrei S M, Dabirmoghaddam M. A Cognitive Sociolinguistic Approach to Lexical Polysemy, a Case Study: Persian Adjective /šax/. IQBQ. 2019; 26 (2) :70-86
URL: http://eijh.modares.ac.ir/article-27-44368-en.html
1- Assistant Professor of Linguistics, Payam-e Noor University, Tehran, Iran
2- PhD Candidate in Linguistics, Allameh Tabataba’i University, Tehran, Iran
3- Professor of Linguistics, Allameh Tabataba’i University, Tehran, Iran
Abstract:   (401 Views)
The present paper aims to investigate the polysemy of the Persian word /šax/ from the perspective of cognitive sociolinguistics. The study begins with introducing the tenets of cognitive sociolinguistics, and then goes on to investigate the polysemy of the Persian adjective /šax/ within this framework. In cognitive sociolinguistics, it is believed that polysemy cannot be reduced to a static state, one and the same for all speakers of a language. Rather, social variables like age and gender of speakers affect the way they perceive different senses of the polysemous words. This paper, in line with cognitive sociolinguistic, studies on polysemy, specifically those of Robinson (2010, 2012a, 2012b, and 2014), employed advanced statistical methods of Logistic Regression and Cross Tab to study the polysemy of Persian adjective /šax/ among 200 Persian speakers, both male and female, of different ages, selected from the Narmak neighborhood, Tehran, Iran, within the time span of spring and summer 2018. The results show that the cognitive sociolinguistic approach works desirably in lexical polysemy studies. In addition, the use of advanced statistical methods revealed a number of important facts about different senses of /šax/ in terms of age and gender, which provide a better description of polysemy in Persian language.
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Article Type: Original Research | Subject: Arts and Humanities (General)
Received: 2020/07/11 | Accepted: 2019/09/15 | Published: 2019/09/15

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