{"data":{"id":"10.6084/m9.figshare.7353164","type":"dois","attributes":{"doi":"10.6084/m9.figshare.7353164","prefix":"10.6084","suffix":"m9.figshare.7353164","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Jenset, Gard","nameType":"Personal","givenName":"Gard","familyName":"Jenset","affiliation":[],"nameIdentifiers":[]},{"name":"McGillivray, Barbara","nameType":"Personal","givenName":"Barbara","familyName":"McGillivray","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-3426-8200","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Data from 'The dative alternation revisited: fresh insights from contemporary British spoken data'"}],"publisher":"figshare","container":{},"publicationYear":2019,"subjects":[{"subject":"200401 Applied Linguistics and Educational Linguistics","subjectScheme":"FOR"},{"subject":"FOS: Languages and literature","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Languages and literature","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"200499 Linguistics not elsewhere classified","subjectScheme":"FOR"},{"subject":"Linguistics"},{"subject":"200408 Linguistic Structures (incl. Grammar, Phonology, Lexicon, Semantics)","subjectScheme":"FOR"},{"subject":"200405 Language in Culture and Society (Sociolinguistics)","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2018-11-16","dateType":"Created"},{"date":"2020-02-07","dateType":"Updated"},{"date":"2019","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[],"relatedItems":[],"sizes":["887356 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Dataset created by Gard Jenset, Barbara McGillivray, and Michael Rundell for the study published in Jenset et al. (2018). \u003cbr\u003e It is derived from an early sample of the Spoken BNC2014 corpus of Spoken British English (Love et al. 2017) available at https://cqpweb.lancs.ac.uk/bnc2014spoken. \u003cbr\u003e References: \u003cbr\u003e Jenset GB, McGillivray B, Rundell M. (2018) The English dative alternation revisited: Fresh insights from contemporary British spoken data. In: Brezina V, Love R, Aijmer K, editors. Corpus approaches to contemporary British speech: Sociolinguistic studies of the spoken BNC2014. London: Routledge; 2018. pp. 185–207. \u003cbr\u003e Love, R., Dembry, C., Hardie, A., Brezina, V., \u0026amp; McEnery, T. (2017). The Spoken BNC2014: Designing and building a spoken corpus of everyday conversations. International Journal of Corpus Linguistics, 22(3), 319-344. DOI: 10.1075/ijcl.22.3.02lov\u003cbr\u003eWe release the following files:- Dataset: BNCspoken2014_dative_dataset_v1.csv- Supporting files: - animacy_recipient.txt (see r_cleaning_data_script.rmd for details) - combine_data.py (Python script) - r_cleaning_data_script.rmd (R script)\u003cbr\u003eThis dataset is described in the following article:Jenset, G.B. and McGillivray, B., 2019. Data from ‘The Dative Alternation Revisited: Fresh Insights from Contemporary British Spoken Data’. \u003ci\u003eJournal of Open Humanities Data\u003c/i\u003e, 5(1), p.1. DOI: http://doi.org/10.5334/johd.11\u003cbr\u003ePlease cite the article DOI (http://doi.org/10.5334/johd.11) as well as the dataset DOI (10.6084/m9.figshare.7353164.v6) whenever using the dataset.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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