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Depositordc.contributorLos, Bettelou
Funderdc.contributor.otherUniversity of Edinburghen_UK
Data Creatordc.creatorLubbers, Thijs
Data Creatordc.creatorLos, Bettelou
Date Accessioneddc.date.accessioned2017-10-16T14:31:38Z
Date Availabledc.date.available2017-10-16T14:31:38Z
Citationdc.identifier.citationLubbers, Thijs; Los, Bettelou. (2017). Correspondence Analysis of Old English texts, [image]. University of Edinburgh, School of Philosophy, Psychology and Language Sciences. https://doi.org/10.7488/ds/2231.en
Persistent Identifierdc.identifier.urihttp://hdl.handle.net/10283/2924
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/2231
Dataset Description (abstract)dc.description.abstractThis dataset includes correspondence plots, based on 10 most frequent POS-tag + lexical complementizer unigrams, to accompany Los, B., & Lubbers, T. (submitted). Syntax, text-type, genre and authorial voice in Old English: A data-driven approach. In K. Bech, & R. Möhlig-Falke (Eds.), Grammar – Discourse – Context: Widening the Horizon for a Theory of Grammatical Change. (Discourse Patterns). Berlin: Mouton de Gruyter.en_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburgh, School of Philosophy, Psychology and Language Sciencesen_UK
Relation (Is Referenced By)dc.relation.isreferencedbyLos, B., & Lubbers, T. (submitted). Syntax, text-type, genre and authorial voice in Old English: A data-driven approach. In K. Bech, & R. Möhlig-Falke (Eds.), Grammar – Discourse – Context: Widening the Horizon for a Theory of Grammatical Change. (Discourse Patterns). Berlin: Mouton de Gruyter.en_UK
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Subjectdc.subjectSyntaxen_UK
Subjectdc.subjectText-typeen_UK
Subjectdc.subjectGenreen_UK
Subjectdc.subjectAuthorial voiceen_UK
Subject Classificationdc.subject.classificationLinguisticsen_UK
Titledc.titleCorrespondence Analysis of Old English textsen_UK
Alternative Titledc.title.alternativeCorrespondence plot, based on 10 most frequent POS-tag + lexical complementizer unigramsen_UK
Typedc.typeimageen_UK

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