Author verification of Nahj Al-Balagha.
The primary purpose of this article is author verification of the Nahj Al-Balagha , a book attributed to Imam Ali and over which Sunni and Shi'i Muslims are proposing different theories. Given the morphologically complex nature of Arabic, we test whether morphological segmentation, applied to the bo...
| Publicado en: | Digital Scholarship in the Humanities Vol. 37; no. 4; pp. 1210 - 1223 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Dec2022
|
| Materias: | |
| 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=159850231&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 159850231 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2022 vid: 37 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 159850231 10.1093/llc/fqab103 ppf: 1210 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.2MB tig: atl: Author verification of Nahj Al-Balagha. aug: au: Sarwar, Raheem Mohamed, Emad affil: Research Group in Computational Linguistics, University of Wolverhampton , West Midlands, UK su: Naive Bayes classification Multidimensional scaling Support vector machines Principal components analysis Random forest algorithms Sunnites sug: subj: Naive Bayes classification Multidimensional scaling Support vector machines Principal components analysis Random forest algorithms Sunnites ab: The primary purpose of this article is author verification of the Nahj Al-Balagha , a book attributed to Imam Ali and over which Sunni and Shi'i Muslims are proposing different theories. Given the morphologically complex nature of Arabic, we test whether morphological segmentation, applied to the book and works by the two authors suspected by Sunnis to have authored the texts, can be used for author verification of the Nahj Al-Balagha. Our findings indicate that morphological segmentation may lead to slightly better results than whole words and that regardless of the feature sets, the three sub-corpora cluster into three distinct groups using principal component analysis, hierarchical clustering, multi-dimensional scaling, and bootstrap consensus trees. Supervised classification methods such as Naive Bayes, Support Vector Machines, k Nearest Neighbours, Random Forests, AdaBoost, Bagging, and Decision Trees confirm the same results, which is a clear indication that (1) the book is internally consistent and can thus be attributed to a single person and (2) it was not authored by either of the suspected authors. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
|---|