Supervised collaboration for syntactic annotation of Quranic Arabic.
The Quranic Arabic Corpus () is a collaboratively constructed linguistic resource initiated at the University of Leeds, with multiple layers of annotation including part-of-speech tagging, morphological segmentation (Dukes and Habash ) and syntactic analysis using dependency grammar (Dukes and Buckw...
| Publicado en: | Language Resources & Evaluation Vol. 47; no. 1; pp. 33 - 63 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Mar2013
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| 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=85873228&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 85873228 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2013 vid: 47 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 85873228 10.1007/s10579-011-9167-7 ppf: 33 ppct: 30 formats: fmt: @attributes: type: P size: 898KB tig: atl: Supervised collaboration for syntactic annotation of Quranic Arabic. aug: au: Dukes, Kais Atwell, Eric Habash, Nizar affil: University of Leeds, Leeds UK Columbia University, New York USA su: Arabic language Qur'an Linguistics Dependency grammar Islam sug: subj: Arabic language Qur'an Linguistics Dependency grammar Islam keyword: Arabic Collaborative annotation Corpus Quran Treebank ab: The Quranic Arabic Corpus () is a collaboratively constructed linguistic resource initiated at the University of Leeds, with multiple layers of annotation including part-of-speech tagging, morphological segmentation (Dukes and Habash ) and syntactic analysis using dependency grammar (Dukes and Buckwalter ). The motivation behind this work is to produce a resource that enables further analysis of the Quran, the 1,400 year-old central religious text of Islam. This project contrasts with other Arabic treebanks by providing a deep linguistic model based on the historical traditional grammar known as i′rāb (إعراب). By adapting this well-known canon of Quranic grammar into a familiar tagset, it is possible to encourage online annotation by Arabic linguists and Quranic experts. This article presents a new approach to linguistic annotation of an Arabic corpus: online supervised collaboration using a multi-stage approach. The different stages include automatic rule-based tagging, initial manual verification, and online supervised collaborative proofreading. A popular website attracting thousands of visitors per day, the Quranic Arabic Corpus has approximately 100 unpaid volunteer annotators each suggesting corrections to existing linguistic tagging. To ensure a high-quality resource, a small number of expert annotators are promoted to a supervisory role, allowing them to review or veto suggestions made by other collaborators. The Quran also benefits from a large body of existing historical grammatical analysis, which may be leveraged during this review. In this paper we evaluate and report on the effectiveness of the chosen annotation methodology. We also discuss the unique challenges of annotating Quranic Arabic online and describe the custom linguistic software used to aid collaborative annotation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2013. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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