International Journal of Speech Technology

, Volume 19, Issue 2, pp 339–346 | Cite as

A new Quranic Corpus rich in morphosyntactical information

  • Imad ZeroualEmail author
  • Abdelhak Lakhouaja


There is not a widely amount of available annotated Arabic corpora. This leads us to contribute to the enrichment of Arabic corpora resources. In this regard, we have decided to start working with correct and carefully selected texts. Thus, beginning with the Quranic Arabic text is the best way to start for such an effort. Furthermore, the annotating linguistic resources, such as Quranic Corpus, are important for researchers working in all Arabic natural language processing fields. To the best of our knowledge, the only available Quranic Arabic corpora are from the University of Leeds, University of Jordan and the University of Haifa. Unfortunately, these corpora have several problems and they do not contain enough grammatical and syntactical information. To build a new Corpus of the Quran, the work used a semi-automatic technique, which consists in using the morphsyntactic of standard Arabic words “AlKhalil Morpho Sys” followed by a manual treatment. As a result of this work, we have built a new Quranic Corpus rich in morphosyntactical information.


Corpus linguistics Quran Arabic language processing Morphosyntactical information AlKhalil Morpho Sys 



We would like to thank the Arabic Language Processing team in Oujda, especially Pr. Mazroui Azzeddine for his useful and relevant remarks. Also, we would like to thank Pr. Boudlal Abderrahim and Belahbib Rachid for their helpful information about the Arabic morphological and syntactical rules.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Informed consent

The authors declare that this study does not involve human participation.

Research involving human participants and/or animals

The authors declare that this research not involves human subjects and/or animals research.


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Computer Sciences Laboratory Faculty of SciencesMohammed First UniversityOujdaMorocco

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