{"dcterms:modified":"2024-03-19","dcterms:creator":"DataverseNO","@type":"ore:ResourceMap","@id":"https://dataverse.no/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.18710/GIP0PM","ore:describes":{"citation:distributor":{"citation:distributorName":"The Tromsø Repository of Language and Linguistics (TROLLing)","citation:distributorAbbreviation":"TROLLing","citation:distributorURL":"https://trolling.uit.no/"},"citation:dsDescription":{"citation:dsDescriptionValue":"The dataset contains instances of the (semi-)modal verbs 'must', 'have to', 'need to' and '(have) got to' from nineteen written and spoken genres in the Scottish and British components of the International Corpus of English (ICE-SCO and ICE-GB). Nonfinite forms (e.g. 'will have to', 'might need to'), interrogatives, past-tense forms, as well as negations were excluded (partly through non-inclusion in the search, partly manually), as were all epistemic instances (predominantly of 'must') and non-obligation meanings of 'got to' (e.g. 'They got to be friends'). The sentences attached to each occurrence were manually annotated for grammatical person (of the subject) and source of obligation (objective vs. subjective).","citation:dsDescriptionDate":"2021-02-06"},"contributor":{"citation:contributorType":"Other","citation:contributorName":"Li, Zeyu"},"citation:dateOfCollection":{"citation:dateOfCollectionStart":"2019-01-01","citation:dateOfCollectionEnd":"2019-12-01"},"software":[{"citation:softwareName":"AntConc","citation:softwareVersion":"3.5.7"},{"citation:softwareName":"R","citation:softwareVersion":"3.6.2"},{"citation:softwareName":"RStudio","citation:softwareVersion":"1.2.5033"},{"citation:softwareName":"R package 'brms'","citation:softwareVersion":"3.6.2"},{"citation:softwareName":"R package 'rstan'","citation:softwareVersion":"2.19.3"},{"citation:softwareName":"R package 'StanHeaders'","citation:softwareVersion":"2.21.0-1"},{"citation:softwareName":"R package 'lattice'","citation:softwareVersion":"0.20-38"}],"geospatial:geographicCoverage":[{"geospatial:country":"United Kingdom"},{"geospatial:country":"United Kingdom","geospatial:state":"Scotland"}],"citation:keyword":[{"citation:keywordValue":"Scottish Standard English"},{"citation:keywordValue":"Modal verbs"},{"citation:keywordValue":"Obligation"}],"author":[{"citation:authorName":"Schützler, Ole","citation:authorAffiliation":"University of Bamberg","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0001-8868-0191"},{"citation:authorName":"Herzky, Jenny","citation:authorAffiliation":"University of Bamberg"}],"citation:producer":[{"citation:producerName":"University of Bamberg","citation:producerURL":"https://www.uni-bamberg.de/en/"},{"citation:producerName":"German Research Foundation","citation:producerAbbreviation":"DFG","citation:producerURL":"https://www.dfg.de/en/index.jsp"}],"grantNumber":{"citation:grantNumberAgency":"German Research Foundation","citation:grantNumberValue":"SCHU 3250/1-1"},"citation:datasetContact":{"citation:datasetContactName":"Schützler, Ole","citation:datasetContactAffiliation":"University of Bamberg","citation:datasetContactEmail":"ole.schuetzler@uni-bamberg.de"},"publication":{"publicationCitation":"Schützler, O., & Herzky, J. (2022). Modal verbs of strong obligation in Scottish Standard English. English Language & Linguistics, 26(1), 133-159. doi:10.1017/S1360674321000071","publicationIDType":"doi","publicationIDNumber":"10.1017/S1360674321000071","publicationURL":"https://doi.org/10.1017/S1360674321000071"},"timePeriodCovered":{"citation:timePeriodCoveredStart":"1989","citation:timePeriodCoveredEnd":"2018"},"citation:depositor":"Schützler, Ole","subject":"Arts and Humanities","citation:relatedMaterial":"Documentation of analysis:\nhttps://osf.io/aq2r5/","kindOfData":"Corpus data","citation:accessToSources":"https://www.ice-corpora.uzh.ch/en.html [ICE-website at the University of Zurich]\n\nKirk, John & Gerald Nelson. 2018. The International Corpus of English project: A progress report. World Englishes 34(4): 697–716. https://doi.org/10.1111/weng.12350\n\nNelson, Gerald, Sean Wallis & Bas Aarts. 2002. Exploring Natural Language. Working with the British Component of the International Corpus of English. Amsterdam: John Benjamins.\n\nSchützler, Ole, Ulrike Gut & Robert Fuchs. 2017. New perspectives on Scottish Standard English: Introducing the Scottish component of the International Corpus of English. In: Joan C. Beal & Sylvie Hancil (Hg.), Perspectives on northern Englishes. Berlin: Mouton de Gruyter [TiEL 96]. 273–302. https://doi.org/10.1515/9783110450903-012","title":"Modal verbs of strong obligation in Scottish Standard English: Corpus data","language":"English","dateOfDeposit":"2021-02-06","dataSources":"International Corpus of English: British and Scottish Components","@id":"https://doi.org/10.18710/GIP0PM","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.2","schema:name":"Modal verbs of strong obligation in Scottish Standard English: Corpus data","schema:dateModified":"Thu Sep 28 20:02:24 GMT 2023","schema:datePublished":"2021-02-19","dvcore:termsOfUse":"
This dataset, \"Modal verbs of strong obligation in Scottish Standard English: Corpus data\", may be reused according to the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license as described here: https://creativecommons.org/licenses/by-nc/4.0.\r\n
\r\nThis dataset contains data from two components of the International Corpus of English (ICE), namely the British and the Scottish components.\r\n
\r\nICE-Scotland has partly been (and will continue to be) published under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Germany (CC BY-NC-SA 3.0 DE) licence.
\r\n\r\nThe license for ICE-GB (as given in the file \"Corpus_licences.pdf\") includes the following conditions:
\r\n\r\n
In this dataset, \"Modal verbs of strong obligation in Scottish Standard English: Corpus data\", the data file “modals.csv” contains statistical data / calculations based on two national components of the ICE. In addition, the files contain
\r\n\r\n
However, the files do not contain any coherent (parts of) utterances which the keywords were found in as all context was removed from the data files.
\r\n\r\nAccording to UK Copyright Law (cf. https://www.gov.uk/guidance/exceptions-to-copyright#fair-dealing), “[f]actors that have been identified by the courts as relevant in determining whether a particular dealing with a work is fair include:
The extracts used in this present dataset may be said to represent fair dealing according to both these factors:
Note: No datasets will be curated/published from March 22 to April 1, 2024. More info.
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