Islamophobia and the Issue of Jammu & Kashmir: A Corpus-based Transitivity Analysis of Imran Khan’s Speech at UNGA

Abstract

Systemic Functional Linguistics deals with different patterns of grammar along with the analysis of sentences. This study aimed to explore the transitivity system in Prime Minister Imran Khan’s Speech at United Nations General Assembly (UGNA). This research was primarily focused on how Prime Minister Imran Khan presented the issue of Islamophobia and Jammu and Kashmir. This study followed a quantitative research methodology. For this purpose, the transcription of PM khan's speech at UGNA was taken as the research method. Moreover, to explore the transitivity system in the speech of PM Khan UAM corpus-based tool was used. The analysis of the transitivity process was done at the clause level. The ideational meta function of Halliday’s Systemic Functional Linguistics was used as the theoretical framework for this political discourse. The types of processes, participants, and circumstances are manipulated at a deep level. Results showed that PM Khan mostly used material type of transitivity in his speech at UGNO. A description of all the results is presented in the form of tables and charts for depth assessment and understanding.