Interpreting Burrow's Delta: Geometric and Probabilistic Foundations.
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| Title: | Interpreting Burrow's Delta: Geometric and Probabilistic Foundations. |
|---|---|
| Authors: | Argamon, Shlomo1 argamon@iit.edu |
| Source: | Literary & Linguistic Computing. Jun2008, Vol. 23 Issue 2, p131-147. 17p. 19 Graphs. |
| Subjects: | Authorship, Attribution of authorship, Burrows, John F., Measurement, Probability theory, Distance geometry, Metric spaces, Distances, Author-publisher relations |
| Abstract: | While Burrows's intuitive and elegant 'Delta' measure for authorship attribution has proven to be extremely useful for authorship attribution, a theoretical understanding of its operation has remained somewhat obscure. In this article, I address this issue by introducing a geometric interpretation of Delta, which further allows us to interpret Delta as a probabilistic ranking principle. This interpretation gives us a better understanding of the method's fundamental assumptions and potential limitations, as well as leading to several well-founded variations and extensions. [ABSTRACT FROM AUTHOR] |
| Copyright of Literary & Linguistic Computing 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 32877044 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Interpreting Burrow's Delta: Geometric and Probabilistic Foundations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Argamon%2C+Shlomo%22">Argamon, Shlomo</searchLink><relatesTo>1</relatesTo><i> argamon@iit.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Literary+%26+Linguistic+Computing%22">Literary & Linguistic Computing</searchLink>. Jun2008, Vol. 23 Issue 2, p131-147. 17p. 19 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Authorship%22">Authorship</searchLink><br /><searchLink fieldCode="DE" term="%22Attribution+of+authorship%22">Attribution of authorship</searchLink><br /><searchLink fieldCode="DE" term="%22Burrows%2C+John+F%2E%22">Burrows, John F.</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement%22">Measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Distance+geometry%22">Distance geometry</searchLink><br /><searchLink fieldCode="DE" term="%22Metric+spaces%22">Metric spaces</searchLink><br /><searchLink fieldCode="DE" term="%22Distances%22">Distances</searchLink><br /><searchLink fieldCode="DE" term="%22Author-publisher+relations%22">Author-publisher relations</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: While Burrows's intuitive and elegant 'Delta' measure for authorship attribution has proven to be extremely useful for authorship attribution, a theoretical understanding of its operation has remained somewhat obscure. In this article, I address this issue by introducing a geometric interpretation of Delta, which further allows us to interpret Delta as a probabilistic ranking principle. This interpretation gives us a better understanding of the method's fundamental assumptions and potential limitations, as well as leading to several well-founded variations and extensions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Literary & Linguistic Computing 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=32877044 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/llc/fqn003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 131 Subjects: – SubjectFull: Authorship Type: general – SubjectFull: Attribution of authorship Type: general – SubjectFull: Burrows, John F. Type: general – SubjectFull: Measurement Type: general – SubjectFull: Probability theory Type: general – SubjectFull: Distance geometry Type: general – SubjectFull: Metric spaces Type: general – SubjectFull: Distances Type: general – SubjectFull: Author-publisher relations Type: general Titles: – TitleFull: Interpreting Burrow's Delta: Geometric and Probabilistic Foundations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Argamon, Shlomo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 02681145 Numbering: – Type: volume Value: 23 – Type: issue Value: 2 Titles: – TitleFull: Literary & Linguistic Computing Type: main |
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