UPSI Digital Repository (UDRep)
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Abstract : Universiti Pendidikan Sultan Idris |
This diachronic study aims to explore linguistics phenomena of verbs and tenses in English song
lyrics across genres and time via corpus-driven approach. This study has three objectives; to
identify the most frequent lexises, to analyze the use of most frequent verbs, and to
analyze the use of most frequent tenses in English song lyrics. A specialized corpus named
Diachronic Corpus of English Song Lyrics (DCOESL) consisting of Country, Pop, Rock, and R&B
genres from the years 1960 to 2009, was built for the analysis. Linguistics analysis of English
song lyrics corpus was used as the research design. Computational corpus instruments were used to
generate 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 collocations
were compared to reference corpora: BNC and COCA. Findings show that DCOESL is saturated with
mental 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 randomly
across four genres, mean X²(6, N=8140)=256.5, p |
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