Key verbs in academic writing: Dataset for "Evaluation of keyness metrics: Performance and reliability" (doi:10.18710/EUXSMW)

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Key verbs in academic writing: Dataset for "Evaluation of keyness metrics: Performance and reliability"

doi:10.18710/EUXSMW

DataverseNO

2023-04-18

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Sönning, Lukas, 2023, "Key verbs in academic writing: Dataset for "Evaluation of keyness metrics: Performance and reliability"", https://doi.org/10.18710/EUXSMW, DataverseNO, V1

Key verbs in academic writing: Dataset for "Evaluation of keyness metrics: Performance and reliability"

doi:10.18710/EUXSMW

Sönning, Lukas (University of Bamberg)

University of Bamberg

DataverseNO

The Tromsø Repository of Language and Linguistics (TROLLing)

Sönning, Lukas

Sönning, Lukas

2022-07-08

https://doi.org/10.18710/EUXSMW

Arts and Humanities, keyness, keywords, corpus, methodology, frequency, corpus linguistics, dispersion, COCA, English, Corpus of Contemporary American English

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.

1990-01-01-2019-12-31

2008-2020

United States

corpus data

observational data

COCA (Corpus of Contemporary American English); Davies, Mark. 2008. The Corpus of Contemporary American English. www.english-corpora.org/coca.

<p>This Dataset, Key verbs in academic writing: Dataset for "Evaluation of keyness metrics: Reliability and interpretability" (hereafter: Dataset), may be reused according to the <strong>CLARIN PUB+BY+LRT</strong> license as described below:</p> <p></p> <p><strong>Copyright holder: </strong>Lukas Sönning</p> <p></p> <p><strong>Resource:</strong> Key verbs in academic writing: Dataset for "Evaluation of keyness metrics: Reliability and interpretability"</p> <p></p> <p>The Copyright holders grant the End-User a free, non-exclusive and perpetual (for the duration of the copyright) right to use and make copies of the Resource, distribute copies and present the Resource in public as such, as modified, or as part of a compilation or derived work. The permission applies to all known or future modes and means of communication and includes a right to make modifications enabling the use of the Resource on other devices and in other formats.</p> <p></p> <p>Additional license terms as defined in the <em>Condition Definitions</em> section below:<br> <ul> <li><strong>General Use conditions:</strong> BY, LRT</li> </ul> <p></p> <p><strong>Condition Definitions:</strong><br> <ul> <li><strong>BY:</strong> Attribution, i.e. acknowledgement of authorship, is required.</li> <li><strong>LRT:</strong> The content is available only for language research and technology development.</li> </ul></p> <p></p> <p>This license has been made in compliance with copyright agreements by WIPO – the World Intellectual Property Organization. The rights granted in this license shall be so interpreted that in case applicable intellectual property laws grant rights not mentioned in this license, they are also regarded as part of the rights to be licensed; the purpose of this license is not to restrict any rights intended to be licensed within different legal systems. Additional rights to the Resource may be agreed separately in writing.</p>

Sönning, Lukas. 2023. Evaluation of keyness metrics: Performance and reliability. Open Science Framework project. https://doi.org/10.17605/OSF.IO/KCWUS

Sönning, Lukas. 2024. Evaluation of keyness metrics: Performance and reliability. Corpus Linguistics and Linguistic Theory 20(2). 263–288.

10.1515/cllt-2022-0116

Sönning, Lukas. 2024. Evaluation of keyness metrics: Performance and reliability. Corpus Linguistics and Linguistic Theory 20(2). 263–288.

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00_ReadMe_keyverbs.txt

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Documentation file describing the dataset

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2022-12-21_text_metadata_for_coca2020.txt

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Metadata for the text files in COCA 2020

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2022-12-22_coca_metadata_ACAD_FIC.txt

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Metadata for the text files in the dataset

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2022-12-22_verb_lemmas_acad.txt

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Text-level occurrences of the 700 verb lemmas (COCA section "academic")

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2022-12-22_verb_lemmas_fict.txt

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Text-level occurrences of the 700 verb lemmas (COCA section "fiction")

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script_data_preparation.qmd

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R script documenting the preparation of the data for analysis

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script_data_retrieval.qmd

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R script documenting data retrieval from the full-text corpus files (COCA)

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