This corpus-driven study explores the linguistics phenomenon of mental verbs in English song lyrics from 1960s until 2000s. This study aims to identify the frequency distributions of lexical verbs, mental verbs, and to analyze the language uses of mental verbs in the Diachronic Corpus of English Song Lyrics (DCOESL). Quantitative and qualitative methods of analysis were applied. First, quantitative data covering frequency distributions of general verbs was produced via LancsBox. Top three mental verbs in song lyrics were selected for analysis and discussion. The frequency distributions of mental verbs and collocations were produced via LancsBox. Collocational patterns were illustrated through collocational graphs constructed via LancsBox. Frequency distributions of mental verbs were compared to reference corpus Contemporary Corpus of American English (COCA) for the purpose of generalizing the findings from this study as representative of English language. The statistical data were subm.....

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This diachronic study aims to explore the linguistic phenomena of the verb f-word 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 f-word in English song lyrics experience ascending trend since the 1980s, with highest occurrences in R&B (38pmw). F-word in DCOESL has strong collocational strength with personal pronoun me (17321pmw), MI=3.442. Personal pronoun me is very significant to the node f-word, T-score=3.274. F-word in DCOESL has highest si.....

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