Fadhlur Rahman
- Master Of Applied Linguistics, Monash University, Australia - English Education Department, Faculty Of Teacher Training And Education, Institut Agama Islam Negeri Lhokseumawe, Indonesia

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Journal : JOLLT Journal of Languages and Language Teaching

Unveiling Language Prejudice: A Corpus-Based Analysis of Racial Slurs Across Genres Fadhlur Rahman; Ella Yuzar; Mohammad Kholid
Journal of Languages and Language Teaching Vol 12, No 2 (2024)
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jollt.v12i2.10753

Abstract

Discrimination and racism have been obvious for decades. This encompasses derogatory racial epithets such as "nigger, niggers, n-words". The objective of this study was to employ corpus-based analysis in order to examine the frequency of racial derogatory expressions across various genres of literature. The COCA (Corpus of Contemporary American English) data were employed to perform a corpus-based linguistic analysis of the terms 'nigger', 'niggers', and 'n-word' over a span of 20 years (1990 to 2019).  Although the words "niggers" and "n-word" have similar meanings, the occurrence of the word "niggers" and "n-word" in the corpora was significantly less frequent compared to the word "nigger." Primarily, the term "niggers" was used as a plural indicator for the derogatory term "nigger". The frequency with which individuals who use derogatory language, such as the term "niggers," associate themselves with pronouns like "they," "us," "those," "all of you," etc., suggests the existence of these patterns. The sole term that displays a notably diverse frequency distribution across genres is the n-word (in comparison to these two terms).