For faster navigation, this Iframe is preloading the Wikiwand page for Quranic Arabic Corpus.

Quranic Arabic Corpus

Quranic Arabic Corpus
Research center:University of Leeds
Initial release:November 2009
Language:Quranic Arabic, English
Annotation:Syntax, morphology
Framework:Dependency grammar
License:GNU General Public License
Website:http://corpus.quran.com/
Dependency syntax tree for verse (67:1)

The Quranic Arabic Corpus (Arabic: المدونة القرآنية العربية, romanizedal-modwana al-Qurʾāni al-ʿArabiyya) is an annotated linguistic resource consisting of 77,430 words of Quranic Arabic. The project aims to provide morphological and syntactic annotations for researchers wanting to study the language of the Quran.[1][2][3][4][5]

Functions

The grammatical analysis helps readers further in uncovering the detailed intended meanings of each verse and sentence. Each word of the Quran is tagged with its part-of-speech as well as multiple morphological features. Unlike other annotated Arabic corpora, the grammar framework adopted by the Quranic Corpus is the traditional Arabic grammar of i'rab (إﻋﺮﺍﺏ). The research project is led by Kais Dukes at the University of Leeds,[4] and is part of the Arabic language computing research group within the School of Computing, supervised by Eric Atwell.[6]

The annotated corpus includes:[1][7]

  • A manually verified part-of-speech tagged Quranic Arabic corpus.
  • An annotated treebank of Quranic Arabic.
  • A novel visualization of traditional Arabic grammar through dependency graphs.
  • Morphological search for the Quran.
  • A machine-readable morphological lexicon of Quranic words into English.
  • A part-of-speech concordance for Quranic Arabic organized by lemma.
  • An online message board for community volunteer annotation.

Corpus annotation assigns a part-of-speech tag and morphological features to each word. For example, annotation involves deciding whether a word is a noun or a verb, and if it is inflected for masculine or feminine. The first stage of the project involved automatic part-of-speech tagging by applying Arabic language computing technology to the text. The annotation for each of the 77,430 words in the Quran was then reviewed in stages by two annotators, and improvements are still ongoing to further improve accuracy.

Linguistic research for the Quran that uses the annotated corpus includes training Hidden Markov model part-of-speech taggers for Arabic,[8] automatic categorization of Quranic chapters,[9] and prosodic analysis of the text.[10]

In addition, the project provides a word-by-word Quranic translation based on accepted English sources, instead of producing a new translation of the Qur'an.[4]

See also

References

  1. ^ a b K. Dukes, E. Atwell and N. Habash (2011). Supervised Collaboration for Syntactic Annotation of Quranic Arabic. Language Resources and Evaluation Journal (LREJ). Special Issue on Collaboratively Constructed Language Resources.
  2. ^ Supervised collaboration for syntactic annotation of Quranic Arabic at ResearchGate. Uploaded by Nizar Habash, Columbia University.
  3. ^ K. Dukes and T. Buckwalter (2010). A Dependency Treebank of the Quran using Traditional Arabic Grammar. In Proceedings of the 7th International Conference on Informatics and Systems (INFOS). Cairo, Egypt.
  4. ^ a b c The Quranic Arabic Corpus Archived 2013-02-23 at the Wayback Machine at The Muslim Tribune. June 20, 2011.
  5. ^ Eric Atwell, Claire Brierley, Kais Dukes, Majdi Sawalha and Abdul-Baquee Sharaf. An Artificial Intelligence approach to Arabic and Islamic content on the internet[permanent dead link], pg. 2. Riyadh: King Saud University, 2011.
  6. ^ Engineering. "Profile for Dr Eric Atwell - School of Computing - University of Leeds". www.comp.leeds.ac.uk.
  7. ^ K. Dukes and Habash, N. (2011). One-step Statistical Parsing of Hybrid Dependency-Constituency Syntactic Representations. International Conference on Parsing Technologies (IWPT). Dublin, Ireland.
  8. ^ M. Albared, N. Omar and M. Ab Aziz (2011). Developing a Competitive HMM Arabic POS Tagger using Small Training Corpora. Intelligent Information and Database Systems. Springer Berlin, Heidelberg.
  9. ^ A. M. Sharaf and E. Atwell (2011). Automatic Categorization of the Quranic Chapters. 7th International Computing Conference in Arabic (ICCA11). Riyadh, Saudi Arabia.
  10. ^ C. Brierley, M. Sawalha and E. Atwell (2012). Boundary Annotated Qur'an Corpus for Arabic Phrase Break Prediction. Archived 2018-12-15 at the Wayback Machine IVACS Annual Symposium. Cambridge.
{{bottomLinkPreText}} {{bottomLinkText}}
Quranic Arabic Corpus
Listen to this article

This browser is not supported by Wikiwand :(
Wikiwand requires a browser with modern capabilities in order to provide you with the best reading experience.
Please download and use one of the following browsers:

This article was just edited, click to reload
This article has been deleted on Wikipedia (Why?)

Back to homepage

Please click Add in the dialog above
Please click Allow in the top-left corner,
then click Install Now in the dialog
Please click Open in the download dialog,
then click Install
Please click the "Downloads" icon in the Safari toolbar, open the first download in the list,
then click Install
{{::$root.activation.text}}

Install Wikiwand

Install on Chrome Install on Firefox
Don't forget to rate us

Tell your friends about Wikiwand!

Gmail Facebook Twitter Link

Enjoying Wikiwand?

Tell your friends and spread the love:
Share on Gmail Share on Facebook Share on Twitter Share on Buffer

Our magic isn't perfect

You can help our automatic cover photo selection by reporting an unsuitable photo.

This photo is visually disturbing This photo is not a good choice

Thank you for helping!


Your input will affect cover photo selection, along with input from other users.

X

Get ready for Wikiwand 2.0 🎉! the new version arrives on September 1st! Don't want to wait?