JOURNAL ARTICLE

Conceptualization of Sar (Head) in Persian figurative expressions.

  • Published In: International Journal of Language & Culture, 2023, v. 10, n. 1. P. 33 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Ahangari, Nahid 3 of 3

Abstract

Since Lakoff and Johnson (1999) proposed 'Embodiment theory' in Cognitive Linguistics, the relationship between language and body parts has been a subject of research for many years. This paper examines the conceptualization of body part 'head' in 305 Persian figurative expressions and proverbs in two related Iranian dictionaries. Using the 'Cultural Conceptualization' model introduced by Sharifian (2011), this article demonstrates how sar, the Persian equivalent to 'head', is conceptualized to convey various notions such as mental activity, emotions, personality traits, social behavior and state, time, place, death, measurement, leader, and success. The conceptualization of body parts in a language can be bounded to that language and often rooted in some cultural background; however, this topic has received scant attention among scholars of Persian language. Apparently, no comprehensive studies on the conceptualization of head in Persian figurative expressions have been conducted so far, thus this research is an attempt to fill this gap. The analysis of the afore-mentioned word revealed that it can convey several meanings; these include mental activity, emotions, human traits, social action and status, time, location, death, measurement, leadership and success. The variety of meanings stems from contexts within which the word is presented. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Language & Culture. 2023/01, Vol. 10, Issue 1, p33
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2023
  • ISSN:2214-3157
  • DOI:10.1075/ijolc.00044.aha
  • Accession Number:175572571
  • Copyright Statement:Copyright of International Journal of Language & Culture is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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