Arabic natural language processing for Qur’anic research: a systematic review
<p dir="ltr">The Qur’an is a fourteen centuries old divine book in Arabic language that is read and followed by almost two billion Muslims globally as their sacred religious text. With the rise of Islam, the Arabic language gained popularity and became the lingua franca for large swa...
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2022
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| _version_ | 1864513507533258752 |
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| author | Muhammad Huzaifa Bashir (19467919) |
| author2 | Aqil M. Azmi (19467922) Haq Nawaz (63419) Wajdi Zaghouani (5297402) Mona Diab (5297432) Ala Al-Fuqaha (4434340) Junaid Qadir (16494902) |
| author2_role | author author author author author author |
| author_facet | Muhammad Huzaifa Bashir (19467919) Aqil M. Azmi (19467922) Haq Nawaz (63419) Wajdi Zaghouani (5297402) Mona Diab (5297432) Ala Al-Fuqaha (4434340) Junaid Qadir (16494902) |
| author_role | author |
| dc.creator.none.fl_str_mv | Muhammad Huzaifa Bashir (19467919) Aqil M. Azmi (19467922) Haq Nawaz (63419) Wajdi Zaghouani (5297402) Mona Diab (5297432) Ala Al-Fuqaha (4434340) Junaid Qadir (16494902) |
| dc.date.none.fl_str_mv | 2022-12-02T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s10462-022-10313-2 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Arabic_natural_language_processing_for_Qur_anic_research_a_systematic_review/26808481 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Language, communication and culture Linguistics Philosophy and religious studies Religious studies Arabic natural language processing Machine learning Quranic NLP Religious texts Classical Arabic |
| dc.title.none.fl_str_mv | Arabic natural language processing for Qur’anic research: a systematic review |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The Qur’an is a fourteen centuries old divine book in Arabic language that is read and followed by almost two billion Muslims globally as their sacred religious text. With the rise of Islam, the Arabic language gained popularity and became the lingua franca for large swaths of the old world. Devout Muslims read the Qur’an daily seeking guidance and comfort. Though the Qur’an, as a text, is short, there is a huge volume of supporting work filling tens of thousands of volumes, e.g., commentaries, exegesis, etc. Recently, there has been a renewed interest in such religious texts by non-specialists. Many of which were fueled by the recent advances in computational and natural language processing (NLP) techniques. These techniques help the development of tools that benefit common people to gain knowledge easily. This paper surveys the different efforts in the field of Qur’anic NLP, serving as a synthesized compendium of works (tools, data sets, approaches) covering the gamut from automated morphological analysis to correction of Qur’anic recitation via speech recognition. Multiple approaches are discussed for several tasks, where appropriate. Finally, we outline future research directions in this field.</p><p dir="ltr">Author Correction: Arabic natural language processing for Qur’anic research: a systematic review: <a href="https://dx.doi.org/10.1007/s10462-023-10390-x" target="_blank">https://dx.doi.org/10.1007/s10462-023-10390-x</a>, published online 24 March 2023.</p><h2>Other Information</h2><p dir="ltr">Published in: Artificial Intelligence Review<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10462-022-10313-2" target="_blank">https://dx.doi.org/10.1007/s10462-022-10313-2</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_db29ee045b1fd1e45b24226c8c6a16ef |
| identifier_str_mv | 10.1007/s10462-022-10313-2 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26808481 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Arabic natural language processing for Qur’anic research: a systematic reviewMuhammad Huzaifa Bashir (19467919)Aqil M. Azmi (19467922)Haq Nawaz (63419)Wajdi Zaghouani (5297402)Mona Diab (5297432)Ala Al-Fuqaha (4434340)Junaid Qadir (16494902)Information and computing sciencesArtificial intelligenceLanguage, communication and cultureLinguisticsPhilosophy and religious studiesReligious studiesArabic natural language processingMachine learningQuranic NLPReligious textsClassical Arabic<p dir="ltr">The Qur’an is a fourteen centuries old divine book in Arabic language that is read and followed by almost two billion Muslims globally as their sacred religious text. With the rise of Islam, the Arabic language gained popularity and became the lingua franca for large swaths of the old world. Devout Muslims read the Qur’an daily seeking guidance and comfort. Though the Qur’an, as a text, is short, there is a huge volume of supporting work filling tens of thousands of volumes, e.g., commentaries, exegesis, etc. Recently, there has been a renewed interest in such religious texts by non-specialists. Many of which were fueled by the recent advances in computational and natural language processing (NLP) techniques. These techniques help the development of tools that benefit common people to gain knowledge easily. This paper surveys the different efforts in the field of Qur’anic NLP, serving as a synthesized compendium of works (tools, data sets, approaches) covering the gamut from automated morphological analysis to correction of Qur’anic recitation via speech recognition. Multiple approaches are discussed for several tasks, where appropriate. Finally, we outline future research directions in this field.</p><p dir="ltr">Author Correction: Arabic natural language processing for Qur’anic research: a systematic review: <a href="https://dx.doi.org/10.1007/s10462-023-10390-x" target="_blank">https://dx.doi.org/10.1007/s10462-023-10390-x</a>, published online 24 March 2023.</p><h2>Other Information</h2><p dir="ltr">Published in: Artificial Intelligence Review<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10462-022-10313-2" target="_blank">https://dx.doi.org/10.1007/s10462-022-10313-2</a></p>2022-12-02T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s10462-022-10313-2https://figshare.com/articles/journal_contribution/Arabic_natural_language_processing_for_Qur_anic_research_a_systematic_review/26808481CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268084812022-12-02T03:00:00Z |
| spellingShingle | Arabic natural language processing for Qur’anic research: a systematic review Muhammad Huzaifa Bashir (19467919) Information and computing sciences Artificial intelligence Language, communication and culture Linguistics Philosophy and religious studies Religious studies Arabic natural language processing Machine learning Quranic NLP Religious texts Classical Arabic |
| status_str | publishedVersion |
| title | Arabic natural language processing for Qur’anic research: a systematic review |
| title_full | Arabic natural language processing for Qur’anic research: a systematic review |
| title_fullStr | Arabic natural language processing for Qur’anic research: a systematic review |
| title_full_unstemmed | Arabic natural language processing for Qur’anic research: a systematic review |
| title_short | Arabic natural language processing for Qur’anic research: a systematic review |
| title_sort | Arabic natural language processing for Qur’anic research: a systematic review |
| topic | Information and computing sciences Artificial intelligence Language, communication and culture Linguistics Philosophy and religious studies Religious studies Arabic natural language processing Machine learning Quranic NLP Religious texts Classical Arabic |