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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| Format: | thesis |
| Language: | eng |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://ir.upsi.edu.my/detailsg.php?det=6275 |
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| Summary: | 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 |
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