A Corpus-driven Analysis of Taylor Swift’s Song Lyrics

Taylor Swift is widely recognized for her song writing skills, known for crafting relatable lyrics, catchy tunes, and personal storytelling that draws from her experiences and emotions. This exploratory study aims to explore the lan- guage used in Taylor Swift’s song lyrics by analysing the language features, its collocations and the most used lexical bundles. A specialised corpus, the Taylor Swift Corpus (TSC), was compiled with a total of 189 song lyrics from 10 Taylor Swift albums, from her debut album - Taylor Swift (2004) to the latest release - Midnights (2022). TSC con- sists of song lyrics of different genres, including country, country rock, pop, country pop, folk and folk pop. #LancsBox 6.0 software was utilised for generating the statistics of the corpus, where the results were analysed further in order to fulfil the proposed research objectives in this research. Various corpus analyses were carried out including frequency analysis, collocational patterns analysis and examining the concordance lines. Findings revealed Taylor Swift’s writing styles that are personalised in nature through use of the personal pronouns ‘I’ and ‘you’, followed by salient references to ‘time’ and her reflections on events via the cognitive verb ‘know’. Future studies could investi- gate other properties of the artist’s writing such as metaphorical or figurative use of language.

Authors

Publication Details

Journal
International Journal of Modern Languages And Applied Linguistics
Published
2025-07-14
DOI
https://doi.org/10.24191/ijmal.v7i2.7489
Citations
2
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
5.34
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article

A Corpus-driven Analysis of Taylor Swift’s Song Lyrics

Siti Aeisha Joharry, A. Daud, Faruq Ahmad Kendong
2 citations
International Journal of Modern Languages And Applied Linguistics
Computational and Text Analysis Methods
5.34
article

A Corpus-driven Analysis of Taylor Swift’s Song Lyrics

Siti Aeisha Joharry, A. Daud, Faruq Ahmad Kendong
article en
2 citations

Abstract

Taylor Swift is widely recognized for her song writing skills, known for crafting relatable lyrics, catchy tunes, and personal storytelling that draws from her experiences and emotions. This exploratory study aims to explore the lan- guage used in Taylor Swift’s song lyrics by analysing the language features, its collocations and the most used lexical bundles. A specialised corpus, the Taylor Swift Corpus (TSC), was compiled with a total of 189 song lyrics from 10 Taylor Swift albums, from her debut album - Taylor Swift (2004) to the latest release - Midnights (2022). TSC con- sists of song lyrics of different genres, including country, country rock, pop, country pop, folk and folk pop. #LancsBox 6.0 software was utilised for generating the statistics of the corpus, where the results were analysed further in order to fulfil the proposed research objectives in this research. Various corpus analyses were carried out including frequency analysis, collocational patterns analysis and examining the concordance lines. Findings revealed Taylor Swift’s writing styles that are personalised in nature through use of the personal pronouns ‘I’ and ‘you’, followed by salient references to ‘time’ and her reflections on events via the cognitive verb ‘know’. Future studies could investi- gate other properties of the artist’s writing such as metaphorical or figurative use of language.

International Journal of Modern Languages And Applied LinguisticsVol. 7(2)
Openalex Percentile: Top 5%
Computational and Text Analysis Methods
5.34
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