Supervised collaboration for syntactic annotation of Quranic Arabic
نویسندگان
چکیده
منابع مشابه
Supervised collaboration for syntactic annotation of Quranic Arabic
The Quranic Arabic Corpus (http://corpus.quran.com) 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 & Habash, 2010) and syntactic analysis using dependency grammar (Dukes & Buckwalter, 2010). The motivation behind this work is to produce a resource th...
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The Quranic Arabic Dependency Treebank (QADT) is part of the Quranic Arabic Corpus (http://corpus.quran.com), an online linguistic resource organized by the University of Leeds, and developed through online collaborative annotation. The website has become a popular study resource for Arabic and the Quran, and is now used by over 1,500 researchers and students daily. This paper presents the tree...
متن کاملMorphological Annotation of Quranic Arabic
The Quranic Arabic Corpus (http://corpus.quran.com) is an annotated linguistic resource with multiple layers of annotation including morphological segmentation, part-of-speech tagging, and syntactic analysis using dependency grammar. 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 paper...
متن کاملA Pilot PropBank Annotation for Quranic Arabic
The Quran is a significant religious text written in a unique literary style, close to very poetic language in nature. Accordingly it is significantly richer and more complex than the newswire style used in the previously released Arabic PropBank (Zaghouani et al., 2010; Diab et al., 2008). We present preliminary work on the creation of a unique Arabic proposition repository for Quranic Arabic....
متن کاملSyntactic Annotation in the Columbia Arabic Treebank
Abstract The Columbia Arabic Treebank (CATiB) is a database of syntactic analyses of Arabic sentences. CATiB contrasts with previous approaches to Arabic treebanking in its emphasis on faster production with some constraints on linguistic richness. Two basic ideas inspire the CATiB approach. First, CATiB avoids the annotation of redundant linguistic information that is determinable automaticall...
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ژورنال
عنوان ژورنال: Language Resources and Evaluation
سال: 2011
ISSN: 1574-020X,1574-0218
DOI: 10.1007/s10579-011-9167-7