‘Delta’: a Measure of Stylistic Difference and a Guide to Likely Authorship.
This paper is a companion to my ‘Questions of authorship: attribution and beyond’, in which I sketched a new way of using the relative frequencies of the very common words for comparing written texts and testing their likely authorship. The main emphasis of that paper was not on the new procedure bu...
| Publicado en: | Literary & Linguistic Computing Vol. 17; no. 3; pp. 267 - 288 |
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| Formato: | Artículo |
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Oxford University Press / USA
Sep2002
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=44626942&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 44626942 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 02681145 BJ1 jtl: Literary & Linguistic Computing issn: 02681145 maglogo: N pubinfo: dt: Sep2002 vid: 17 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 44626942 10.1093/llc/17.3.267 ppf: 267 ppct: 21 formats: fmt: @attributes: type: P size: 125KB tig: atl: ‘Delta’: a Measure of Stylistic Difference and a Guide to Likely Authorship. aug: au: Burrows, John affil: University of Newcastle, Australia su: Authorship Authors Literary characters Literature Statistics Databases sug: subj: Authorship Authors Literary characters Literature Statistics Databases ab: This paper is a companion to my ‘Questions of authorship: attribution and beyond’, in which I sketched a new way of using the relative frequencies of the very common words for comparing written texts and testing their likely authorship. The main emphasis of that paper was not on the new procedure but on the broader consequences of our increasing sophistication in making such comparisons and the increasing (although never absolute) reliability of our inferences about authorship. My present objects, accordingly, are to give a more complete account of the procedure itself; to report the outcome of an extensive set of trials; and to consider the strengths and limitations of the new procedure. The procedure offers a simple but comparatively accurate addition to our current methods of distinguishing the most likely author of texts exceeding about 1,500 words in length. It is of even greater value as a method of reducing the field of likely candidates for texts of as little as 100 words in length. Not unexpectedly, it works least well with texts of a genre uncharacteristic of their author and, in one case, with texts far separated in time across a long literary career. Its possible use for other classificatory tasks has not yet been investigated. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Literary & Linguistic Computing holder: Oxford University Press / USA dt: @attributes: year: 2002 holdings: @attributes: islocal: N |
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