A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim

This study looks at the semantic prosody of swear words found in a corpus of English songs by looking at their collocations using a corpus software; AntConc. A total of 545 songs were chosen based on the Billboard year-end chart from 2011 to 2016 with 243,689 number of tokens and 8,139 number of wor...

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Main Author: Hazri Shahreen , Hashim
Format: Thesis
Published: 2020
Subjects:
Online Access:http://studentsrepo.um.edu.my/12773/
http://studentsrepo.um.edu.my/12773/1/Hazri_Shahreen.pdf
http://studentsrepo.um.edu.my/12773/2/Hazri_Shahreen.pdf
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author Hazri Shahreen , Hashim
author_facet Hazri Shahreen , Hashim
author_sort Hazri Shahreen , Hashim
building UM Research Repository
collection Online Access
description This study looks at the semantic prosody of swear words found in a corpus of English songs by looking at their collocations using a corpus software; AntConc. A total of 545 songs were chosen based on the Billboard year-end chart from 2011 to 2016 with 243,689 number of tokens and 8,139 number of word types. Word lists and concordance lines were generated from the corpus for the data analysis. The analysis on the concordance lines showed that not all swear words with negative-based meaning possessed negative semantic prosody. Despite possessing negative semantic prosody, 10 out of 15 swear words possessed neutral semantic prosody and only one word had a positive semantic prosody. In summary, this study argues that swear words are not entirely negative as perceived, rather it depends on context to be regarded as negative.
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spelling um-127732022-01-12T19:24:21Z A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim Hazri Shahreen , Hashim P Philology. Linguistics This study looks at the semantic prosody of swear words found in a corpus of English songs by looking at their collocations using a corpus software; AntConc. A total of 545 songs were chosen based on the Billboard year-end chart from 2011 to 2016 with 243,689 number of tokens and 8,139 number of word types. Word lists and concordance lines were generated from the corpus for the data analysis. The analysis on the concordance lines showed that not all swear words with negative-based meaning possessed negative semantic prosody. Despite possessing negative semantic prosody, 10 out of 15 swear words possessed neutral semantic prosody and only one word had a positive semantic prosody. In summary, this study argues that swear words are not entirely negative as perceived, rather it depends on context to be regarded as negative. 2020-07-24 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/12773/1/Hazri_Shahreen.pdf application/pdf http://studentsrepo.um.edu.my/12773/2/Hazri_Shahreen.pdf Hazri Shahreen , Hashim (2020) A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim. Masters thesis, Universiti Malaya. http://studentsrepo.um.edu.my/12773/
spellingShingle P Philology. Linguistics
Hazri Shahreen , Hashim
A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim
title A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim
title_full A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim
title_fullStr A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim
title_full_unstemmed A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim
title_short A semantic prosody analysis of swear words in a corpus of English songs / Hazri Shahreen Hashim
title_sort semantic prosody analysis of swear words in a corpus of english songs / hazri shahreen hashim
topic P Philology. Linguistics
url http://studentsrepo.um.edu.my/12773/
http://studentsrepo.um.edu.my/12773/1/Hazri_Shahreen.pdf
http://studentsrepo.um.edu.my/12773/2/Hazri_Shahreen.pdf