DOCSLIB.ORG

Visual Word Processing of Non-Arabic-Speaking Qur'anic

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Visual Word Processing of Non-Arabic-Speaking Qur'anic Visual Word Processing of Non-Arabic-speaking Qur’anic Memorisers Siti Syuhada Binte Faizal Doctor of Philosophy School of Education, Communication and Language Sciences Newcastle University June 2019 Abstract Visual word processing typically involves the interplay between orthographic, phonological, morphological, and semantic knowledge. However, there are atypical learning situations where the input of one of the above is limited, such as rote memorisation of the Qur’an with little semantic input. This is common in non-Arabic-speaking countries where speakers from Muslim communities learn how to read the Qur’an without understanding what it means. Despite this unique and pervasive phenomenon, little work has been carried out in this area. The goal of this dissertation is to investigate the visual word processing of non-Arabic-speaking Qur’an memorisers at three levels of processing—lexical, sublexical, and morphological. It also aimed to investigate individual differences through examining potential interactions of effects with Qur’an vocabulary knowledge and amount of Qur’an memorised, thereby informing us of the roles of semantics and print exposure to the language in visual word processing. Using stimuli constructed from the Qur’an Lexicon Project, a series of psycholinguistic experiments were conducted with non-Arabic-speaking Qur’an readers and memorisers from Singapore. Participants were given two visual lexical decision tasks (one with morphological priming and one without) and a speeded pronunciation task. A standardised Qur’an Vocabulary Test was also given to measure their vocabulary knowledge and self-reports of Qur’anic memorisation scores were elicited to measure the amount and fluency of Qur’anic memorisation. Findings from these experiments provide insight into the factors influencing the visual word processing of non-Arabic-speaking Qur’an memorisers and demonstrate that the influence of these factors can vary differentially depending on one’s vocabulary knowledge and amount of Qur’an memorised, given several significant three-way interactions. The findings broadly suggest the implicit learning of lexical and sublexical features of a writing system through exposure to its orthography and phonology, despite limited exposure to semantics, with vocabulary knowledge and statistical exposure to the language i playing different but interdependent roles in strengthening the quality of lexical and sublexical representations. However, for morphological processing, findings suggest that vocabulary knowledge plays a more important role alongside statistical exposure in the implicit learning of roots whereas statistical exposure is more important than vocabulary knowledge in the implicit learning of word patterns, which is consistent with the view that roots and word patterns represent distinct structural characteristics in Semitic languages. Keywords: visual word processing; visual word recognition; semantic knowledge; print exposure; statistical learning. ii Acknowledgements Praise be to Allah. This dissertation would not have been possible without the help of the following: My mother, ‘Aishah, for her many du’as and for being my “research assistant” in many ways, as well as my father, Faizal, for his financial support and belief in my education; My first supervisor, Ghada Khattab, who has been superbly patient and supportive despite the numerous challenges I have presented her with over the years and is truly deserving of her Research Supervisor of the Year award, as well as my second supervisor, Cristina McKean, for always providing insightful comments and advice that are much appreciated; Brett Kessler, for providing excellent advice over many emails; Susan Rickard Liow and Melvin Yap, for inducting me into the field of psycholinguistics and for the helpful discussions about my research; Jalal Al-Tamimi, for providing helpful advice on R and Praat; Kamil Bartoń, for his help with troubleshooting the MuMIn package in R; Sekolah Ugama Radin Mas, Madrasah Aljunied Al-Islamiah, Madrasah Wak Tanjong Al-Islamiah, Darul Huffaz Learning Centre, Akademi Tahfiz, Darul Qur’an Singapura, and International Islamic University Malaysia for participating in the study in various ways through giving permission to observe their classes or to conduct my experiments with their students; The huffaẓ who participated in my interviews and provided me with helpful information about Qur’an memorisation, especially Ustazah Susilawati, who patiently answered my numerous questions about tajweed; The hundreds of participants who had so kindly spent their time doing my experiments and questionnaires; The Muslim Converts’ Association of Singapore, for their generous education bursaries and for providing a venue for me to conduct an experiment session; Lembaga Biasiswa Kenangan Maulud, for their belief in me and awarding me their Prestigious Scholarship for three years; Lee Foundation, for their generous bursary; iii Aini Funiah, Jehanzaib Alvi, Yusuff Shah, Meredith and Ismail, Ben Ho, Zairiati Zakaria, Aisyah Omar, Dedi Affandi, Crystal Ngu, Muhammad Mohsin, Hamid Rahmatullah, Melati Tengku, and many others for their generous donations to my GoFundMe campaign; My fellow PhD schoolmates, Patchanok Kitikanan, Chen Yiling, Victoria Wong, Nur Nabila, Abang Khaliq and Kak Aida, for their emotional support and help in many ways; My BFFs, Shuli and Izzati, for their general awesomeness, and my buddies, Mahdi and Ridzwan, for never failing to treat me to a meal; My family, especially my youngest brother, Irfan, for his help with numerous tasks; My husband, Hidayath, for his technical expertise in programming and support in numerous aspects; And everyone else who has directly or indirectly helped me in any way. I am truly grateful. iv Table of Contents Abstract .............................................................................................................. i Acknowledgements ......................................................................................... iii Table of Contents .............................................................................................. v List of Figures ................................................................................................ xiii List of Tables .................................................................................................. xxi Chapter 1. Introduction .................................................................................... 1 1.1 Visual Word Recognition ........................................................................... 1 1.2 Non-Arabic-speaking Qur’anic Memorisers ............................................... 2 1.3 Qur’anic Arabic .......................................................................................... 3 1.4 Overview of the Current Work ................................................................... 4 1.4.1 Contributions ....................................................................................... 4 1.4.2 Research Questions ........................................................................... 5 1.5 Organisation of the Dissertation ................................................................ 5 Chapter 2. Background .................................................................................... 9 2.1 Introduction ................................................................................................ 9 2.2 Importance of Qur’anic Reading and Memorisation .................................. 9 2.3 Psycholinguistic Characteristics of Qur’anic Arabic ................................. 11 2.3.1 Orthography ...................................................................................... 12 2.3.2 Phonology ......................................................................................... 15 2.4 Qur’anic Reading and Memorisation in Singapore .................................. 17 2.4.1 Orthographic Input ............................................................................ 19 2.4.2 Phonetic Input ................................................................................... 24 2.4.3 Semantic Input .................................................................................. 25 2.5 Summary ................................................................................................. 26 v Chapter 3. The Qur’an Lexicon Project: A Psycholinguistic Database for Qur’anic Arabic ............................................................................................... 29 3.1 Introduction.............................................................................................. 29 3.2 Development of the Qur’an Lexicon ........................................................ 30 3.2.1 Corpus .............................................................................................. 30 3.2.2 Transcription ..................................................................................... 30 3.3 Database Descriptives ............................................................................ 33 3.3.1 Pronunciation .................................................................................... 33 3.3.2 Length ............................................................................................... 34 3.3.3 Frequency ......................................................................................... 34 3.3.4 Lexical Uniqueness Point ................................................................. 36 3.3.5 Neighbourhood Size ........................................................................
Load more

Recommended publications
  • Statistical Parsing by Machine Learning from a Classical Arabic Treebank
    Statistical Parsing by Machine Learning from a Classical Arabic Treebank Kais Dukes Submitted in accordance with the requirements for the degree of Doctor of Philosophy The University of Leeds School of Computing September, 2013 The candidate confirms that the work submitted is his own, except where work which has formed part of jointly-authored publications has been included. The contribution of the candidate and the other authors to this work has been explicitly indicated overleaf. The appropriate credit has been given where reference has been made to the work of others. This copy has been supplied on the understanding that it is copyright material and that no quotation from the thesis may be published without proper acknowledgement. Publications Chapters 4 to 10 in parts II, III and IV of this thesis are based on jointly-authored publications. I was the lead author and the co-authors acted in an advisory capacity, providing supervision and review. All original contributions presented here are my own. Part II - Modelling Classical Arabic The formal representations of Classical Arabic orthography, morphology and syntax presented in Chapters 4 to 6 are based on the following papers: Kais Dukes and Nizar Habash (2010a). Morphological Annotation of Quranic Arabic. In Proceedings of the Language Resources and Evaluation Conference (LREC) (2530-2536). Valletta, Malta. Kais Dukes, Eric Atwell and Abdul-Baquee Sharaf (2010b). Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank. In Proceedings of the Language Resources and Evaluation Conference (LREC) (1822-1827). Valletta, Malta. Kais Dukes and Timothy Buckwalter (2010c). A Dependency Treebank of the Quran using Traditional Arabic Grammar.
    [Show full text]
  • Arabic Alphabet 1 Arabic Alphabet
    Arabic alphabet 1 Arabic alphabet Arabic abjad Type Abjad Languages Arabic Time period 400 to the present Parent systems Proto-Sinaitic • Phoenician • Aramaic • Syriac • Nabataean • Arabic abjad Child systems N'Ko alphabet ISO 15924 Arab, 160 Direction Right-to-left Unicode alias Arabic Unicode range [1] U+0600 to U+06FF [2] U+0750 to U+077F [3] U+08A0 to U+08FF [4] U+FB50 to U+FDFF [5] U+FE70 to U+FEFF [6] U+1EE00 to U+1EEFF the Arabic alphabet of the Arabic script ﻍ ﻉ ﻅ ﻁ ﺽ ﺹ ﺵ ﺱ ﺯ ﺭ ﺫ ﺩ ﺥ ﺡ ﺝ ﺙ ﺕ ﺏ ﺍ ﻱ ﻭ ﻩ ﻥ ﻡ ﻝ ﻙ ﻕ ﻑ • history • diacritics • hamza • numerals • numeration abjadiyyah ‘arabiyyah) or Arabic abjad is the Arabic script as it is’ ﺃَﺑْﺠَﺪِﻳَّﺔ ﻋَﺮَﺑِﻴَّﺔ :The Arabic alphabet (Arabic codified for writing the Arabic language. It is written from right to left, in a cursive style, and includes 28 letters. Because letters usually[7] stand for consonants, it is classified as an abjad. Arabic alphabet 2 Consonants The basic Arabic alphabet contains 28 letters. Adaptations of the Arabic script for other languages added and removed some letters, such as Persian, Ottoman, Sindhi, Urdu, Malay, Pashto, and Arabi Malayalam have additional letters, shown below. There are no distinct upper and lower case letter forms. Many letters look similar but are distinguished from one another by dots (’i‘jām) above or below their central part, called rasm. These dots are an integral part of a letter, since they distinguish between letters that represent different sounds.
    [Show full text]
  • Classical and Modern Arabic Corpora: Genre and Language Change
    This is a repository copy of Classical and modern Arabic corpora: Genre and language change. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/131245/ Version: Accepted Version Book Section: Atwell, E orcid.org/0000-0001-9395-3764 (2018) Classical and modern Arabic corpora: Genre and language change. In: Whitt, RJ, (ed.) Diachronic Corpora, Genre, and Language Change. Studies in Corpus Linguistics, 85 . John Benjamins , pp. 65-91. ISBN 9789027201485 © John Benjamins 2018.This is an author produced version of a book chapter published in Diachronic Corpora, Genre, and Language Change. Uploaded in accordance with the publisher's self-archiving policy. the publisher should be contacted for permission to re-use or reprint the material in any form. https://doi.org/10.1075/scl.85.04atw. Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ “Author Accepted Version” of: Atwell, E. (2018). Classical and Modern Arabic Corpora: genre and language change.
    [Show full text]
  • Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank
    Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank Kais Dukes, Eric Atwell and Abdul-Baquee M. Sharaf School of Computing, University of Leeds, LS2 9JT, United Kingdom E-mail: [email protected], [email protected], [email protected] Abstract The Quranic Arabic Dependency Treebank (QADT) is part of the Quranic Arabic Corpus (http://corpus.quran.com), an online linguistic resource organized by the University of Leeds, and developed through online collaborative annotation. The website has become a popular study resource for Arabic and the Quran, and is now used by over 1,500 researchers and students daily. This paper presents the treebank, explains the choice of syntactic representation ( ), and highlights key parts of the annotation guidelines. The text being analyzed is the Quran, the central religious book of Islam, written in classical Quranic Arabic (c. 600 CE). To date, all 77,430 words of the Quran have a manually verified morphological analysis, and syntactic analysis is in progress. 11,000 words of Quranic Arabic have been syntactically annotated as part of a gold standard treebank ( ). Annotation guidelines are especially important to promote consistency for a corpus which is being developed through online collaboration, since often many people will participate from different backgrounds and with different levels of linguistic expertise. The treebank is available online for collaborative correction to improve accuracy, with suggestions reviewed by expert Arabic linguists, and compared against existing published books of Quranic Syntax. 1. Introduction syntax and terminology for the Quranic Arabic Treebank has attracted volunteer Quranic scholars and expert Arabic Annotating an Arabic corpus presents a set of unique linguists to the project.
    [Show full text]
  • Morphological Annotation of Quranic Arabic
    Morphological Annotation of Quranic Arabic Kais Dukes1 and Nizar Habash2 1 School of Computing, University of Leeds, LS2 9JT, United Kingdom 2 Center for Computational Learning Systems, Columbia University, New York, USA E-mail: [email protected], [email protected] Abstract The Quranic Arabic Corpus (http://corpus.quran.com) is an annotated linguistic resource with multiple layers of annotation including morphological segmentation, part-of-speech tagging, and syntactic analysis using dependency grammar. The motivation behind this work is to produce a resource that enables further analysis of the Quran, the 1,400 year old central religious text of Islam. This paper describes a new approach to morphological annotation of Quranic Arabic, a genre difficult to compare with other forms of Arabic. Processing Quranic Arabic is a unique challenge from a computational point of view, since the vocabulary and spelling differ from Modern Standard Arabic. The Quranic Arabic Corpus differs from other Arabic computational resources in adopting a tagset that closely follows traditional Arabic grammar. We made this decision in order to leverage a large body of existing historical grammatical analysis, and to encourage online collaborative annotation. In this paper, we discuss how the unique challenge of morphological annotation of Quranic Arabic is solved using a multi-stage approach. The different stages include automatic morphological tagging using diacritic edit-distance, two-pass manual verification, and online collaborative annotation. This process is evaluated to validate the appropriateness of the chosen methodology. The popular online site of the Quranic Arabic Corpus has 1. Introduction been used by numerous Quranic scholars, language The Quranic Arabic Corpus (http://corpus.quran.com) is researchers and students of Arabic, many of whom have an on-line annotated linguistic resource with multiple shown particular interest in the morphological annotation layers of annotation including morphological described in this paper.
    [Show full text]
  • The Example of Psalm 1
    PROTESTANT THEOLOGICAL UNIVERSITY GRONINGEN, NETHERLANDS DELIMITATION CRITICISM AS A GUIDE TO AN URDU TRANSLATION OF THE PSALMS: THE EXAMPLE OF PSALM 1 THESIS SUPERVISOR DR MARJO C.A. KORPEL PRESENTED BY RAZA WASEEM JUNE 2021 VERY HUMBLY DEDICATED TO DR MARJO C. A. KORPEL AND PROF. DR KLAAS SPRONK WHO INTRODUCED ME TO THE FASCINATING WORLD OF BIBLICAL POETRY AND DELIMITATION CRITICISM CONTENTS LIST OF ABBREVIATIONS…………………………………………………………………….IV CHAPTER 1: CHRISTIAN MISSION AND TRANSLATION OF SCRIPTURES IN UNITED INDIA…………………………………………………………………………….6 1.1- EARLY IMPRESSIONS OF VERNACULAR CHRISTIAN LITERATURE ………….……….7 1.2- SCRIPTURAL TRANSLATIONS…………..………………………...……………………….….9 1.3- THE TRANSLATION OF PSALMS IN URDU…………………………………………………10 CHAPTER 2: URDU PSALMS; LINE ARRANGEMENT AND LANGUAGE USED…...13 2.1- PSALMS OF BENJAMIN SCHULTZE………………………………………………………...14 2.2- PSALMS OF REV. JAMES OWEN…………………………………………………………….16 2.3- PSALMS OF JAMES WALTER WAUGH………………………………………….………….18 CHAPTER 3: CONTEXTUAL FRAMES IN BIBLE TRANSLATIONS AND URDU PSALMS……………………………………………………………………………………………………..19 3.1- COLONIAL VS POST-COLONIAL……………………………………………………….……20 3.2- COLONIZERS VS COGNITIVE LINGUISTS………………………………………………….20 3.3- HOW DOES THE SOCIO-CULTURAL FRAME AFFECT URDU PSALTERS?................................21 3.4- HOW DOES THE ORGANIZATIONAL FRAME AFFECT URDU PSALTERS?...............................23 3.5- HOW DOES THE COMMUNICATIONAL FRAME AFFECT URDU PSALTERS?...........................23 3.6- HOW DOES THE TEXTUAL FRAME AFFECT URDU PSALTERS?...................................................................25
    [Show full text]
  • Critical Survey of the Freely Available Arabic Corpora Wajdi Zaghouani Carnegie Mellon University Qatar Computer Science E-Mail: [email protected]
    Critical Survey of the Freely Available Arabic Corpora Wajdi Zaghouani Carnegie Mellon University Qatar Computer Science E-mail: [email protected] Abstract The availability of corpora is a major factor in building natural language processing applications. However, the costs of acquiring corpora can prevent some researchers from going further in their endeavours. The ease of access to freely available corpora is urgent needed in the NLP research community especially for language such as Arabic. Currently, there is not easy was to access to a comprehensive and updated list of freely available Arabic corpora. We present in this paper, the results of a recent survey conducted to identify the list of the freely available Arabic corpora and language resources. Our preliminary results showed an initial list of 66 sources. We presents our findings in the various categories studied and we provided the direct links to get the data when possible. Keywords: Arabic, Open source, Free, Corpora, Corpus, Survey. that are often not complete or outdated. 1. Introduction As of 2010, ELRA created the LRE Map (Language The use of corpora has been a major factor in the recent Resources and Evaluation) which is an online database on advance in natural language processing development and language resources. The goal behind LRE Map is to evaluation. However, the high costs of building or monitor the creation and the use and of language licensing a corpora could be an obstacle for many young resources. The information is collected during the researchers or even some institution in several parts of the submission process to LREC and other conferences.
    [Show full text]
  • Hybrid Part-Of-Speech Tagger for Non-Vocalized Arabic Text
    International Journal on Natural Language Computing (IJNLC) Vol. 2, No.6, December 2013 Hybrid Part-Of-Speech Tagger for Non-Vocalized Arabic Text Meryeme Hadni 1, Said Alaoui Ouatik 1, Abdelmonaime Lachkar 2 and Mohammed Meknassi 1 1FSDM, Sidi Mohamed Ben Abdellah University (USMBA), Morocco 2E.N.S.A, Sidi Mohamed Ben Abdellah University (USMBA), Morocco ABSTRACT Part of speech tagging (POS tagging) has a crucial role in different fields of natural language processing (NLP) including Speech Recognition, Natural Language Parsing, Information Retrieval and Multi Words Term Extraction. This paper proposes an efficient and accurate POS Tagging technique for Arabic language using hybrid approach. Due to the ambiguity issue, Arabic Rule-Based method suffers from misclassified and unanalyzed words. To overcome these two problems, we propose a Hidden Markov Model (HMM) integrated with Arabic Rule-Based method. Our POS tagger generates a set of three POS tags: Noun, Verb, and Particle. The proposed technique uses the different contextual information of the words with a variety of the features which are helpful to predict the various POS classes. To evaluate its accuracy, the proposed method has been trained and tested with two corpora: the Holy Quran Corpus and Kalimat Corpus for undiacritized Classical Arabic language. The experiment results demonstrate the efficiency of our method for Arabic POS Tagging. In fact, the obtained accuracies rates are 97.6%, 96.8% and 94.4% for respectively our Hybrid Tagger, HMM Tagger and for the Rule-Based Tagger with Holy Quran Corpus. And for Kalimat Corpus we obtained 94.60%, 97.40% and 98% for respectively Rule-Based Tagger, HMM Tagger and our Hybrid Tagger.
    [Show full text]
  • Language of Text Messages: a Corpus Based Linguistic Analysis of SMS in Pakistan
    Language of Text Messages: A Corpus Based Linguistic Analysis of SMS in Pakistan Researcher: Supervisor: Malik Naseer Hussain Dr. Raja Nasim Akhtar DEPARTMENT OF ENGLISH FACULTY OF LANGUAGES AND LITERATURE INTERNATIONAL ISLAMIC UNIVERSITY ISLAMABAD 2013 Language of Text Messages: A Corpus Based Linguistic Analysis of SMS in Pakistan By Malik Naseer Hussain Reg. No. 19-FLL/PhDEng/F-07 A dissertation submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in English (Linguistics) DEPARTMENT OF ENGLISH FACULTY OF LANGUAGES AND LITERATURE INTERNATIONAL ISLAMIC UNIVERSITY ISLAMABAD 2013 ii IN THE NAME OF ALLAH, THE MOST GRACIOUS, THE MOST MERCIFUL Say: Truly, my worship, and my sacrifice, and my living, and my dying are for Allah, Lord of the Worlds. (Al-Qur’an, 6, 162) iii Acceptance by the Viva Voce Committee Language of Text Messages: A Corpus Based Linguistic Analysis of SMS in Pakistan Name of Student: Malik Naseer Hussain Registration No: 19-FLL/PhDEng/F-07 Accepted by the Department of English, Faculty of Languages & Literature, International Islamic University Islamabad, in partial fulfilment of the requirements for the award of the Doctor of Philosophy degree in English. Viva Voce Committee _______________________________ ___________________________________ External Examiner Dr. Munawar Iqbal Ahmed Dr. Riaz Hassan Acting Dean Dean, Faculty of Social Sciences Faculty of Languages & Literature Air University, E-9 Islamabad International Islamic University, Islamabad _______________________________ ___________________________________ External Examiner Dr. Munawar Iqbal Ahmed Dr. Wasima Shehzad Chairman, Department of English Professor (Linguistics) International Islamic University, Islamabad Department of Humanities Air University, E-9 Islamabad _______________________________ ___________________________________ Internal Examiner Supervisor Dr.
    [Show full text]
  • Sunnah Arabic Corpus: Design and Methodology
    This is a repository copy of Sunnah Arabic Corpus: Design and Methodology.. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/125569/ Version: Accepted Version Proceedings Paper: Alosaimy, A and Atwell, E orcid.org/0000-0001-9395-3764 (2017) Sunnah Arabic Corpus: Design and Methodology. In: Proceedings of the 5th International Conference on Islamic Applications in Computer Science and Technologies (IMAN 2017). IMAN 2017, 26-28 Dec 2017, Semarang, Indonesia. This is an author produced version of the paper 'Sunnah Arabic Corpus: Design and Methodology', presented at IMAN 2017. Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version - refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher’s website. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ 5th International Conference on Islamic Applications in Computer Science And Technology, 26 – 28 December 2017, Semarang, Indonesia Sunnah Arabic Corpus: Design and Methodology Abdulrahman Alosaimy1, Eric Atwell2 School of Computing, University of Leeds, United Kingdom [email protected],[email protected] ABSTRACT Sunnah Arabic Corpus is an annotated linguistic resource that consists of 144K words/170K tokens of the Hadith narratives (an utterance attributed to prophet Mohammed) extracted from Riyāḍu Aṣṣāliḥīn book.
    [Show full text]
  • An Analysis of Societies, Speakers and Types of Languages in the Qurán
    AN ANALYSIS OF SOCIETIES, SPEAKERS AND TYPES OF LANGUAGES IN THE QURÁN Sanat Md. Nasir International Islamic University Malaysia [email protected] Abstract The paper is aimed at providing an analysis of societies, speakers and types of languages found in the Qurán. As with the speakers and types of languages, they are based on all the utterances in inverted commas found in the Malay translations of the Qurán. The concepts of societies analysed are verified from the textual and co-textual reading of the Qurán. The types of speakers and languages are listed statistically so as to be able to determine the inclinations. Discussions on the three concepts are made available by the findings of the analysis. The study hopes to give a better understanding and insights about the great book, i.e. the Qurán pertaining to such concepts. Keywords: societies, types of languages, speakers Introduction Browsing through the internet, the most recent seminar which was held with the theme, “The Qur'an: Text, Society & Culture”, 2016 in SOAS, London and organized by Centre of Islamic Studies from 10 November 2016 to 12 November 2016, could be daunting if not disappointing when one were to benefit from the topics of the papers shown. The conference introduction states: “The conference series seeks to provide a forum for investigating the basic question: how is the Qur‟anic text read and interpreted? Our objective is to encompass a global vision of current research trends, and to stimulate discussion, debate, and research on all aspects of the Qur'anic text and its interpretation and translation.
    [Show full text]
  • Visualization of Qur'anic Arabic Text for Non-Arabic Speakers
    INFORMATION VISUALIZATION WITH VOCABULARY TRACKING FOR WORD RECOGNITION IN QUR’ANIC VERSES RAJA JAMILAH BT RAJA YUSOF THESIS SUBMITTED IN FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY UNIVERSITY OF MALAYA KUALA LUMPUR 2011 ORIGINAL LITERACY WORK DECLARATION Name of Candidate : RAJA JAMILAH BT RAJA YUSOF IC No : 740718-08-6442 Matric No : WHA040003 Name of Degree : Doctor of Philosophy Title of Dissertation : Information Visualization with Vocabulary Tracking for Word Recognition in Qur‘anic Verses Do solemnly and sincerely declare that: 1. I am the sole author/writer of this work; 2. This work is original; 3. Any use of any work in which copyright exists was done by way of fair dealing and for permitted purposes and any excerpt or extract from, or reference to or reproduction of any copyright work has been disclosed expressly and sufficiently and the title of the work and its authorship have been acknowledged in this work; 4. I do not have any actual knowledge nor do I ought reasonably to know that the making of this work constitutes an infringement of any copyright work; 5. I hereby assign all and every rights in the copyright to this work to the University of Malaya (UM), who henceforth shall be owner of the copyright in this work and that any reproduction or use in any form or by any means whatsoever in prohibited without the written consent of UM having been first had and obtained; 6. I am fully aware that is in the course of making this work I have infringed any copyright whether intentionally or otherwise, I may be subjected to legal action or any other action as may be determined by UM.
    [Show full text]