Deeper Delta across genres and languages: do we really need the most frequent words?
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| Title: | Deeper Delta across genres and languages: do we really need the most frequent words? |
|---|---|
| Authors: | Rybicki, Jan1 jkrybicki@gmail.com, Eder, Maciej1 |
| Source: | Literary & Linguistic Computing. Sep2011, Vol. 26 Issue 3, p315-321. 7p. 10 Graphs. |
| Subjects: | Corpora, Burrows, John, Literary form, English language, German language, Polish language, Latin language |
| Abstract: | This article examines the success of authorship attribution of Burrows’s Delta in several corpora representing a variety of languages and genres. Contrary to the approaches of our predecessors, who only investigated the attributive effectiveness of the very top of the list of the most frequent words, hundreds of possible combinations of word vectors were tested in this study, not solely starting with the most frequent word in each corpus. The results show that Delta works best for prose in English and German and less well for agglutinative languages such as Polish or Latin. [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: 64854178 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deeper Delta across genres and languages: do we really need the most frequent words? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rybicki%2C+Jan%22">Rybicki, Jan</searchLink><relatesTo>1</relatesTo><i> jkrybicki@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Eder%2C+Maciej%22">Eder, Maciej</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Literary+%26+Linguistic+Computing%22">Literary & Linguistic Computing</searchLink>. Sep2011, Vol. 26 Issue 3, p315-321. 7p. 10 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Corpora%22">Corpora</searchLink><br /><searchLink fieldCode="DE" term="%22Burrows%2C+John%22">Burrows, John</searchLink><br /><searchLink fieldCode="DE" term="%22Literary+form%22">Literary form</searchLink><br /><searchLink fieldCode="DE" term="%22English+language%22">English language</searchLink><br /><searchLink fieldCode="DE" term="%22German+language%22">German language</searchLink><br /><searchLink fieldCode="DE" term="%22Polish+language%22">Polish language</searchLink><br /><searchLink fieldCode="DE" term="%22Latin+language%22">Latin language</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article examines the success of authorship attribution of Burrows’s Delta in several corpora representing a variety of languages and genres. Contrary to the approaches of our predecessors, who only investigated the attributive effectiveness of the very top of the list of the most frequent words, hundreds of possible combinations of word vectors were tested in this study, not solely starting with the most frequent word in each corpus. The results show that Delta works best for prose in English and German and less well for agglutinative languages such as Polish or Latin. [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=64854178 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/llc/fqr031 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 315 Subjects: – SubjectFull: Corpora Type: general – SubjectFull: Burrows, John Type: general – SubjectFull: Literary form Type: general – SubjectFull: English language Type: general – SubjectFull: German language Type: general – SubjectFull: Polish language Type: general – SubjectFull: Latin language Type: general Titles: – TitleFull: Deeper Delta across genres and languages: do we really need the most frequent words? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rybicki, Jan – PersonEntity: Name: NameFull: Eder, Maciej IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 02681145 Numbering: – Type: volume Value: 26 – Type: issue Value: 3 Titles: – TitleFull: Literary & Linguistic Computing Type: main |
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