Diachronic analysis of verbs and tenses in English song lyrics across genres and time (1960-2009): A corpus driven study

This diachronic study aims to explore linguistics phenomena of verbs and tenses in English songlyrics across genres and time via corpus-driven approach. This study has three objectives; toidentify the most frequent lexises, to analyze the use of most frequent verbs, and toanalyze the use of most fre...

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Main Author:	Flora Goyak
Format:	thesis
Language:	eng
Published:	2021
Subjects:	P Language and Literature
Online Access:	https://ir.upsi.edu.my/detailsg.php?det=6275
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institution	Universiti Pendidikan Sultan Idris
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language	eng
topic	P Language and Literature
spellingShingle	P Language and Literature Flora Goyak Diachronic analysis of verbs and tenses in English song lyrics across genres and time (1960-2009): A corpus driven study
description	This diachronic study aims to explore linguistics phenomena of verbs and tenses in English songlyrics across genres and time via corpus-driven approach. This study has three objectives; toidentify the most frequent lexises, to analyze the use of most frequent verbs, and toanalyze the use of most frequent tenses in English song lyrics. A specialized corpus namedDiachronic Corpus of English Song Lyrics (DCOESL) consisting of Country, Pop, Rock, and R&Bgenres from the years 1960 to 2009, was built for the analysis. Linguistics analysis of Englishsong lyrics corpus was used as the research design. Computational corpus instruments were used togenerate data. AntConc generated frequency distributions of frequent lexises and adjacent collocations of frequent verbs. CLAWS POS Tagger annotated verbs and tenses.USAS identified semantic categories of verbs. Frequency distributions of verbs and collocationswere compared to reference corpora: BNC and COCA. Findings show that DCOESL is saturated withmental verbs (know=3562, want=2372, love=2206) in the present tense, with the highest occurrences in R&B (know=1295, want=966, love=848). Mental verbs occur non randomlyacross four genres, mean X(6, N=8140)=256.5, p
format	thesis
qualification_name
qualification_level	Master's degree
author	Flora Goyak
author_facet	Flora Goyak
author_sort	Flora Goyak
title	Diachronic analysis of verbs and tenses in English song lyrics across genres and time (1960-2009): A corpus driven study
title_short	Diachronic analysis of verbs and tenses in English song lyrics across genres and time (1960-2009): A corpus driven study
title_full	Diachronic analysis of verbs and tenses in English song lyrics across genres and time (1960-2009): A corpus driven study
title_fullStr	Diachronic analysis of verbs and tenses in English song lyrics across genres and time (1960-2009): A corpus driven study
title_full_unstemmed	Diachronic analysis of verbs and tenses in English song lyrics across genres and time (1960-2009): A corpus driven study
title_sort	diachronic analysis of verbs and tenses in english song lyrics across genres and time (1960-2009): a corpus driven study
granting_institution	Universiti Pendidikan Sultan Idris
granting_department	Fakulti Bahasa dan Komunikasi
publishDate	2021
url	https://ir.upsi.edu.my/detailsg.php?det=6275
_version_	1747833253814861824
spelling	oai:ir.upsi.edu.my:62752021-09-28 Diachronic analysis of verbs and tenses in English song lyrics across genres and time (1960-2009): A corpus driven study 2021 Flora Goyak P Language and Literature This diachronic study aims to explore linguistics phenomena of verbs and tenses in English songlyrics across genres and time via corpus-driven approach. This study has three objectives; toidentify the most frequent lexises, to analyze the use of most frequent verbs, and toanalyze the use of most frequent tenses in English song lyrics. A specialized corpus namedDiachronic Corpus of English Song Lyrics (DCOESL) consisting of Country, Pop, Rock, and R&Bgenres from the years 1960 to 2009, was built for the analysis. Linguistics analysis of Englishsong lyrics corpus was used as the research design. Computational corpus instruments were used togenerate data. AntConc generated frequency distributions of frequent lexises and adjacent collocations of frequent verbs. CLAWS POS Tagger annotated verbs and tenses.USAS identified semantic categories of verbs. Frequency distributions of verbs and collocationswere compared to reference corpora: BNC and COCA. Findings show that DCOESL is saturated withmental verbs (know=3562, want=2372, love=2206) in the present tense, with the highest occurrences in R&B (know=1295, want=966, love=848). Mental verbs occur non randomlyacross four genres, mean X(6, N=8140)=256.5, p 2021 thesis https://ir.upsi.edu.my/detailsg.php?det=6275 https://ir.upsi.edu.my/detailsg.php?det=6275 text eng closedAccess Masters Universiti Pendidikan Sultan Idris Fakulti Bahasa dan Komunikasi Aarts, B., Chalker, S., & Weiner, E. (2006). The Oxford dictionary of Englishgrammar. Oxford, UK: Oxford University Press.Achard, M. & Kemmer, S. (2014). Language, culture, and mind. Stanford, CA: CSLI Publications.Aijmer, K. (2009). Corpora and language teaching. Amsterdam, Netherlands: John Benjamins.Aitken, R. (1992). 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