Impact of Genre on Authorship Attribution in Arabic Poetry and Prose.
This article examines whether authors change their styles when writing in different genres, like poetry and prose, particularly under the metrical constraints of the former. Using a corpus of works by five modern Egyptian authors, we analyse the effectiveness of N most frequent words and N most freq...
| Publicado en: | International Journal of Humanities & Arts Computing: A Journal of Digital Humanities Vol. 19; no. 1; pp. 65 - 85 |
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| Autores principales: | , |
| Formato: | Artículo |
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Edinburgh University Press
Mar2025
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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=183293255&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 183293255 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 17538548 2QD7 jtl: International Journal of Humanities & Arts Computing: A Journal of Digital Humanities issn: 17538548 maglogo: N pubinfo: dt: Mar2025 vid: 19 iid: 1 pid: 2327 pub: Edinburgh University Press artinfo: ui: 183293255 10.3366/ijhac.2025.0345 ppf: 65 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P size: 696KB tig: atl: Impact of Genre on Authorship Attribution in Arabic Poetry and Prose. aug: au: Mohamed, Emad Elewa, Abdelhamid affil: University of Bradford Imam Mohamed IBN Saud Islamic University su: Supervised learning Prose poems Attribution of authorship Poetry writing Authorship sug: subj: Supervised learning Prose poems Attribution of authorship Poetry writing Authorship keyword: Arabic authorship attribution genre attribution poetry prose ab: This article examines whether authors change their styles when writing in different genres, like poetry and prose, particularly under the metrical constraints of the former. Using a corpus of works by five modern Egyptian authors, we analyse the effectiveness of N most frequent words and N most frequent morphological segments in distinguishing between poetry and prose written by the same author. Through supervised and unsupervised machine learning techniques, we demonstrate that authors exhibit distinct stylistic fingerprints in each genre, influenced by the unique conventions and constraints of each form. Results show that each author uses two different stylistic prints when writing prose and poetry. However, when mixing poetry and prose together, all genre-related texts cluster separately, potentially causing author obfuscation. Findings also show that the frequent word method is sufficient for accurately attributing authorship when it comes to mixed-genre texts. In short, the tested linguistic standard features prove resilient across different genres and even survive the constraints of formal poetic meter. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of International Journal of Humanities & Arts Computing: A Journal of Digital Humanities is the property of Edinburgh University Press 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. item: International Journal of Humanities & Arts Computing: A Journal of Digital Humanities holder: Edinburgh University Press dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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