10.18710/EUXSMW Sönning, Lukas Lukas Sönning https://orcid.org/0000-0002-2705-395X University of Bamberg DataverseNO 2023 Arts and Humanities keyness keywords corpus methodology frequency corpus linguistics dispersion COCA English Corpus of Contemporary American English University of Bamberg The Tromsø Repository of Language and Linguistics (TROLLing) The Tromsø Repository of Language and Linguistics (TROLLing) Sönning, Lukas Lukas Sönning University of Bamberg 2022-07-08 2023-04-18 2025-07-17 1990-01-01/2019-12-31 corpus data;observational data 10.1515/CLLT-2022-0116 10.18710/EUXSMW/FD0RNE 10.18710/EUXSMW/SZPQBS 10.18710/EUXSMW/HWK4SD 10.18710/EUXSMW/TLVCGL 10.18710/EUXSMW/JKUL4N 10.18710/EUXSMW/TMD2DS 10.18710/EUXSMW/DIBOUE 125329955 18570556 2357139 155604865 10555 10980 13948 text/plain text/plain text/plain text/plain application/octet-stream application/octet-stream text/plain 1.2 Custom terms specific to this dataset This dataset contains corpus-based frequency data for an analysis of key verbs in published academic writing. The data are from the Corpus of Contemporary American English (COCA; Davies 2008-) and cover a period of 30 years (1990-2019). The section ‘academic’, which contains research articles from peer-reviewed journals, represents the target variety, and the reference variety is fictional writing as represented in the ‘fiction’ section (which contains short stories, plays, movie scripts, and the first chapter of novels). The total number of text files is 26,137 (academic) and 25,992 (fiction). To reduce computational expense for our methodological simulation study, we restrict our attention to verb lemmas whose whole-(sub)corpus normalized frequency exceeds 10 pmw in the academic section of COCA. The data therefore contain frequency information on only 700 verb lemmas. United States