Variants of emotion lexicons, 'marah' (angry) and 'malas' (lazy) in Langkawi Island: a geo-linguistic analysis

Kasdan, Junaini and radzi, Harishon and Nopiah, Julaina (2023) Variants of emotion lexicons, 'marah' (angry) and 'malas' (lazy) in Langkawi Island: a geo-linguistic analysis. LiNGUA Jurnal Ilmu Bahasa dan Sastra, 18 (1). pp. 69-82. ISSN 1693-4725 E-ISSN 2442-3823

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Abstract

In general, research in geographical dialects in Malaysia has uncovered dialect distribution based on lexical and phonological differences, which has been the basis of today’s geo-linguistic studies. This study investigated the emotion lexicon, ‘marah’ (angry) and ‘malas’ (lazy), in the dialect of Malay, Langkawi Island. Data were collected through fieldwork with 447 respondents of youth, adult, and senior citizens across social status or educational levels. The collected data were transcribed using phonetic symbols and coded with ArcGIS software for producing choropleth maps. The research aimed to identify the variants of emotion lexicons in their daily conversation. The study found 12 variants of ‘angry’ and 12 variants of ‘lazy.' By comparing the difference and distribution of each lexicon variant, mapping was successfully conducted using the choropleth technique. The study has also successfully applied Geographic Information System (GIS) to describe geographical factors that influence the formation and distribution of emotion lexicon variants in Langkawi island, which proves their close relation with geographical aspects in Langkawi.

Item Type:	Article (Journal)
Uncontrolled Keywords:	emotion; Geographic Information System (GIS); geo-linguistics; dialect; language
Subjects:	P Language and Literature > P Philology. Linguistics > P87 Communication. Mass media
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Languages and Management
Depositing User:	Dr Julaina Nopiah
Date Deposited:	11 Sep 2023 11:48
Last Modified:	27 Oct 2023 15:08
URI:	http://irep.iium.edu.my/id/eprint/105857

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