@article{Muhammad_Goyak_Zaini_Abdelkhalek Ibrahim_2022, title={Diachronic Analysis of the Profane Words in English Song Lyrics:: A Computational Linguistics Perspective}, volume={11}, url={https://ejournal.upsi.edu.my/index.php/MJM/article/view/5905}, DOI={10.37134//mjm.vol11.1.2.2022}, abstractNote={<p>This diachronic study aims to explore the linguistic phenomena of the verb <em>f-word </em>in English song lyrics across genres and time via various corpus computational tools. A specialised corpus named Diachronic Corpus of English Song Lyrics (DCOESL) consisting of Country, Pop, Rhythm and Blues (R&B), and Rock 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 adopted to generate data. The findings reveal that corpus computational tools it has provided an avenue for researchers to explore languages across time. Additionally, the study shows that <em>f-word </em>in English song lyrics experience ascending trend since the 1980s, with highest occurrences in R&B (38pmw). <em>F-word </em>in DCOESL has strong collocational strength with personal pronoun me (17321pmw), MI=3.442. Personal pronoun me is very significant to the node <em>f-word</em>, T-score=3.274. <em>F-word </em>in DCOESL has highest significant lexical association with <em>f-word </em>in the spoken register of COCA, G<sup>2</sup>COCASPOKEN=102.40, df=1, p<.0001. It exhibits that the highest occurrences of <em>f-word </em>in DCOESL reflects social actions and a high preference for simple present tense, and simple sentence structure. In conclusion, the computational corpus analysis of <em>f-word </em>in English song lyrics has found that <em>f-word </em>prominently co-occur with personal pronoun in simple sentence structure and in simple present tense, in order to mirror English conversational discourse. The implication of this study is English song lyrics, especially from R&B genre, are a potentially authentic corpus resource for exploring spoken English.</p>}, number={1}, journal={Malaysian Journal of Music}, author={Muhammad, Mazura Mastura and Goyak, Flora and Zaini, Muhamad Fadzllah and Abdelkhalek Ibrahim, Wesam Mohamed}, year={2022}, month={May}, pages={14–32} }