improvement to Zeta.

Saved in:
Bibliographic Details
Title: improvement to Zeta.
Authors: Rizvi, Pervez1 pervez.rizvi@gmail.com
Source: Digital Scholarship in the Humanities. Jun2019, Vol. 34 Issue 2, p419-422. 4p.
Subjects: Authorship, Burrows, John, Shakespeare, William, 1564-1616, Craig, Hugh, Zeta functions
Abstract: Zeta has been described as 'the most powerful general-purpose authorship tool currently available.' It has been used to attribute parts of Arden of Faversham to Shakespeare and parts of 3 Henry VI to Marlowe, among other uses. The method was invented by John Burrows, but it is currently used in an adapted form developed by Hugh Craig. This article demonstrates that the method has not been adapted into its simplest form, thereby obscuring a true understanding of what it does. The article proposes an improvement to the method, which makes it easier to implement and may also help to improve researchers' understanding of it, without affecting the results of Zeta tests already completed. [ABSTRACT FROM AUTHOR]
Copyright of Digital Scholarship in the Humanities is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 136673304
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: improvement to Zeta.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rizvi%2C+Pervez%22">Rizvi, Pervez</searchLink><relatesTo>1</relatesTo><i> pervez.rizvi@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Digital+Scholarship+in+the+Humanities%22">Digital Scholarship in the Humanities</searchLink>. Jun2019, Vol. 34 Issue 2, p419-422. 4p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Authorship%22">Authorship</searchLink><br /><searchLink fieldCode="DE" term="%22Burrows%2C+John%22">Burrows, John</searchLink><br /><searchLink fieldCode="DE" term="%22Shakespeare%2C+William%2C+1564-1616%22">Shakespeare, William, 1564-1616</searchLink><br /><searchLink fieldCode="DE" term="%22Craig%2C+Hugh%22">Craig, Hugh</searchLink><br /><searchLink fieldCode="DE" term="%22Zeta+functions%22">Zeta functions</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Zeta has been described as 'the most powerful general-purpose authorship tool currently available.' It has been used to attribute parts of Arden of Faversham to Shakespeare and parts of 3 Henry VI to Marlowe, among other uses. The method was invented by John Burrows, but it is currently used in an adapted form developed by Hugh Craig. This article demonstrates that the method has not been adapted into its simplest form, thereby obscuring a true understanding of what it does. The article proposes an improvement to the method, which makes it easier to implement and may also help to improve researchers' understanding of it, without affecting the results of Zeta tests already completed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Digital Scholarship in the Humanities is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=136673304
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/llc/fqy039
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 419
    Subjects:
      – SubjectFull: Authorship
        Type: general
      – SubjectFull: Burrows, John
        Type: general
      – SubjectFull: Shakespeare, William, 1564-1616
        Type: general
      – SubjectFull: Craig, Hugh
        Type: general
      – SubjectFull: Zeta functions
        Type: general
    Titles:
      – TitleFull: improvement to Zeta.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rizvi, Pervez
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2019
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-print
              Value: 2055768X
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Digital Scholarship in the Humanities
              Type: main
ResultId 1