A Quranic quote verification algorithm for verses authentication

Alshareef, Abdulrhman M.; Saddik, Abdulmotaleb El

doi:10.1109/innovations.2012.6207762

Cited by 21 publications

(3 citation statements)

References 10 publications

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“…There is a need for authentication tools that can verify the online available Qur'anic quotes to provide the true knowledge of the Qur'an to everyone. Alshareef and El Saddik (2012) have designed a tool to verify the authenticity of Qur'anic verses quoted online. Qur'an is either quoted in different issues being discussed online or there are online platforms that provide utility to read Qur'an online.…”

Section: Authentication/verification and Qur'anic Nlpmentioning

confidence: 99%

Arabic natural language processing for Qur’anic research: a systematic review

et al. 2022

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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.

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Section: Authentication/verification and Qur'anic Nlpmentioning

confidence: 99%

Arabic natural language processing for Qur’anic research: a systematic review

et al. 2022

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“…Alshareef et al [78] have designed a tool to verify the authenticity of Qur'anic verses quoted online. Qur'an is either It is important that all these Qur'anic texts should be correct.…”

Section: Speech Processing and Qur'anic Nlpmentioning

confidence: 99%

Arabic Natural Language Processing for Qur’anic Research: A Systematic Review

Bashir¹,

Azmi²,

Nawaz³

et al. 2021

Preprint

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“…Arabic Qur'an verses are very sensitive to the arrangement of diacritics. The removal of a single diacritic or symbol can change the meaning of the whole verse [11][12][13][14]. Thus, it is imperative to search for a diacritical pattern without removing any of the symbols or diacritics.…”

Section: Introductionmentioning

confidence: 99%

Partition-Based Pattern Matching Approach for Efficient Retrieval of Arabic Text

Hakak

Kamsin

Shivakumara

et al. 2018

MJCS

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Encoding for Arabic based on the Unicode Transformation Format (UTF) differs from encoding for English based on the American Standard Code for Information Interchange (ASCII) since the Arabic usage of diacritics, symbols and elongated characters makes searching more challenging in the field of information retrieval. In this paper, we propose a new partition-based pattern matching approach that divides the query words into two equal parts (sub-parts). The proposed approach treats the two divided sub-parts as independent query words and uses a parallel search to match the content in the database. In addition, the proposed approach modifies the conventional brute force pattern matching to speed up the searching process which results in efficient text retrieval from any database. The experimental results are used to evaluate the proposed approach in terms of processing time. The comparative analysis of the existing approaches and the proposed approach reveals that the proposed approach outperforms all other existing approaches in terms of computational time.

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A Quranic quote verification algorithm for verses authentication

Cited by 21 publications

References 10 publications

Arabic natural language processing for Qur’anic research: a systematic review

Arabic natural language processing for Qur’anic research: a systematic review

Arabic Natural Language Processing for Qur’anic Research: A Systematic Review

Partition-Based Pattern Matching Approach for Efficient Retrieval of Arabic Text

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