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 dist.....

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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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