Language of Violence in the English and Arabic Discourses of Radical Groups (2015): A Corpus-based Study

Esra’ Moustafa Abdelzaher;

Abstract


Abstract
This thesis falls within the scope of corpus-based cognitive linguistics. It has two main objectives. First, it aims at constructing a bilingual English-Arabic lexicon covering language of physical violence. The lexicon proposes an objective and retrievable lexical measurement of the multidimensional concept of violence. Achieving the first objective cognitively depends on Fillmore’s 1975 Frame Semantics theory and its automated output: FrameNet, and quantitatively uses Sketch Engine’s Arabic TenTen corpus. Second, the study contrastively applies the lexicon on two corpora representing the Arabic and English written discourse of the Islamic State in Iraq and Syria (ISIS), which is an UN-classified terrorist group, in 2015. Interpreting the results integrates the principles of FrameNet with Louw’s 1993 Semantic Prosody theory to cover the cognitive and pragmatic aspects of violence. The computer-aided analysis makes an extensive use of content analysis programs: Yoshikoder v.0.6.4, AntConc 3.4.4w and Sketch Engine, to reveal the similarities and differences between the two discourses. The outcome of using FrameNet in the exploration of violence is a frame-based cognitively integrated lexicon covering violence and its related frames: killing, hitting, wounding, weapons, among others.


Other data

Title Language of Violence in the English and Arabic Discourses of Radical Groups (2015): A Corpus-based Study
Other Titles دراسة ذخائرية للغة العنف في الخطاب الإنجليزي والعربي للجماعات الراديكالية (2015)
Authors Esra’ Moustafa Abdelzaher
Issue Date 2017

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