Automation of Quranic Readings Gathering Process
DOI:
https://doi.org/10.32890/jict2021.20.2.7Keywords:
Algorithm, Computational Linguistics, Quran, Quranic Readings Gathering, TreeAbstract
Quran has been the focus of many computer science and computational linguistics researchers. However, little contribution was directed towards Quranic readings. This field focuses on the different ways in which Quranic words can be recited. Quranic Readings Gathering is a recitation process that is well-known by the specialists in this field. In this process, all the possible ways of reading a verse are covered in a compact well-structured manner. To the best of the author's knowledge, no computational automation was cited for this process in literature. In this paper, this process is algorithmically formulated and a developed software system is presented to automate this process. This system takes the Quranic verse text as input and generates a text file containing the detailed gathering of the readings of this verse as done by a specialized reciter. The system was applied to the verses of Surat-Al-Baqara and the output text was carefully validated against authentic books in this field. This system can be the basis for software systems for teaching and vocal construction of quranic readings gathering. This would be useful for students that are interested in Quranic Readings.
References
Abdeen, A. (2016). Al-Konoos Althameena fee Jam’e alqiraat alashr min tareeq tayyabat Annashr Alama Jaa’a fee tanqeeh alkareem. (Alkonooz-Athameena in gathering the readings from Tayyibat Annashr ways for what came in Tanqeeh Alkareem). https://archive.org/details/sa71mir_gmail_20160411
Abdou, S., & Rashwan, M. (2014). A computer aided pronunciation learning system for teaching the Holy Quran recitation rules. In IEEE/ACS 11th International Conference on Computer Systems and Applications (pp. 543–550). https://doi.org/10.1109/ aiccsa.2014.7073246
Abdullah, M., Aziz, Z., Rauf, R., Shamsudin, N., & Latiff, R. (2019). TeBook a mobile Holy Quran memorization tool. In Second International Conference on Computer Applications & Information Security (pp. 1–6). https://doi.org/10.1109/ cais.2019.8769472
AbuZeina, D., & Alsaheb, M. (2013). Capturing the common syntactical rules for the Holy Quran: A data mining approach. In Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences (pp. 670–680). https://doi.org/10.1109/cais.2019.8769472 Journal of ICT, 20, No. 2 (April) 2021, pp: 135–
AlKhatib, H. H., Mansor, E. I., Alsamel, Z., & AlBarazi, J. A. (2020). A study of using VR Game in teaching tajweed for teenagers. In Interactivity and the Future of the Human-Computer Interface (pp. 244-260). https://10.4018/978-1-7998-2637-8.ch013
Alotaibi, F., Abdullah, M., Abdullah, R., Rahmat, R., Hashem, I., & Sangaiah A. (2018). Optical character recognition for Quranic image similarity matching. IEEE Access 6, 554–562. https://doi.org/10.1109/access.2017.2771621
Bin Musa, M., Niyaz Bin Yusop, M., Sopee, M., & Ali, M. (2018). i-Tasmik mobilepPlatform – Enabling tahfiz student to memorize Al-Quran independently. In International Conference on Information and Communication Technology for the Muslim World (pp. 24–29). https://doi.org/10.1109/ict4m.2018.00014
Boussenan, R. (2013). Electronic Management of Quran Sites. In Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences (pp. 700–723). https://doi.org/10.1109/nooric.2013.107
Elliott, J., Eckstein, R., Loy, M., Wood, D., & Cole, B. (2002). Java swing (2nd ed.). O’Reilly Media.
Elmarhomy, G. (2020) Understanding hidden meanings of Quran’s words using mobile/Android application. Journal of Computer and Communications, 8(9), 41-53. https://doi.org/10.4236/ jcc.2020.89004
Hakak, S., Kamsin, A., Tayan, O., Idris, M., Gani, A., & Zerdoumi, S. (2017). Preserving content integrity of digital Holy Quran: Survey and open challenges. IEEE Access 5, 7305–7325. https://doi.org/10.1109/access.2017.2682109
Ibnu Al-Jazari, M. (2003), Sharh Tayibat Annashr Fee Al-qiraat Al-ashr (Interpretation of Tyyibat Annashr in the ten Readings). Scientific Books Publisher.
Ishak, S., Zaki, Z., Mohamad, K., Bahrin, M., Roni, N., & Musa, M. (2016). MyQiraat: An interactive Qiraat mobile application. In Fourth International Conference on User Science and Engineering (pp. 35–39). https://doi.org/10.1109/ iuser.2016.7857930
Khadangi, E., Fazeli, M., & Shahmohammadi, A. (2018). The study on Quranic surahs’ topic sameness using NLP techniques. In Proceedings of 8th International Conference on Computer and Knowledge Engineering (pp. 298–302). https://doi.org/10.1109/iccke.2018.8566248 Journal of ICT, 20, No. 2 (April) 2021, pp: 135–
Khan, N., Ahmad, N., Beg, A., Fakheraldin, M., Alla, A., & Nubli, M. (2010). Mental and spiritual relaxation by recitation of the Holy Quran. In Second International Conference on Computer Research and Development (pp. 863–867). https://doi.org/10.1109/iccrd.2010.62
Larbi, L. (2013). Voice search in the Holy Quran. In Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences (pp. 413–418). https://doi.org/10.1109/nooric.2013.86
Mahmoud, M., & Hassan, I. (2013). Artificial intelligence techniques for extracting individuals recitation of the Holy Quran from its combinations. In Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences (pp. 292–297). https://doi.org/10.1109/ nooric.2013.65
Majdalawieh, M., Marir, F., & Tiemsani, I. (2017). Developing adaptive Islamic law business processes models for Islamic finance and banking by text mining the Holy Qur’an and hadith. In IEEE 15th International Conference on Dependable, Autonomic and Secure Computing (pp. 1278–1283). h t t p s : / / d o i. org/10.1109/dasc-picom-datacom-cyberscitec.2017.205
Menacer, M., Arbaoui, A., & Mogbel, A. (2013). Concepts and architecture of a dedicated virtual learning environment for Quran and its sciences. In Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences (pp. 362–365). https://doi.org/10.1109/10.1109/nooric.2013.76
Mohamed, E. H., & Shokry, E. M. (2020). QSST: A Quranic semantic search tool based on word embedding. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2020.01.004
Priatna, T., Nurhamzah, N., Suryana, Y., & Nurdiansah, N. (2020). Developing management of Quran memorization institutions through the web system. International Journal of Advanced Trends in Computer Science and Engineering, 9(1), 465–468. https://doi.org/10.30534/ijatcse/2020/63912020
Qayyum, A., Latif, S., & Qadir, J. (2108). Quran reciter identification: A deep learning approach. In Seventh International Conference on Computer and Communication Engineering (ICCCE) (pp. 492–497). https://doi.org/10.1109/iccce.2018.8539336 Journal of ICT, 20, No. 2 (April) 2021, pp: 135–
Rafi, M., Khan, B., Usmani, A. W., Qasim, Z., Ali, S., Hasan, S. O. (2019). Quran companion - A helping tool for huffaz. Journal of Information & Communication Technology, 13(2), 21–27. http://jict.ilmauniversity.edu.pk/journal/jict/13.2/5.pdf
Rashid, N., Venkat, I., Damanhoori, F., Mustaffa, N., Husain, W., & Khader, A. (2013). Towards automating the evaluation of Holy Quran recitations: A pattern recognition perspective. In Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences (pp. 424–428). https://doi.org/10.1109/nooric.2013.88
Salem, M. (2003). Fareedatu-Addahr fee Ta’seel wa Jam’e Al-qiraat Al-ashr (Fareedatu-Adhar in rooting and gathering the ten readings). Albayan Al-Arabi Publisher. Tanzil Documents. (n. d.). Download Quran text. https://www:// tanzil.net/docs/download
Tulba, A., & Awadh, Y. (2016). Jam’e Alqiraat Al-Ashr min Turuq Tayyibat Annashr (Gathering of the ten readings from Tayyabat Annashr ways). https://archive.org/details/sa71mir_ gmail_201608
Yauri, R. A., Abdul Kadir, R., Azman, A., & Murad, M. (2013). Ontology semantic approach to extraction of knowledge from Holy Quran. In Fifth International Conference on Computer Science and Information Technology (pp. 19–23). https://doi.org/10.1109/csit.2013.6588752
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