Language of Text Messages: a Corpus Based Linguistic Analysis of SMS in Pakistan
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The Pakistan National Bibliography 1999
THE PAKISTAN NATIONAL BIBLIOGRAPHY 1999 A Subject Catalogue of the new Pakistani books deposited under the provisions of Copyright Law or acquired through purchase, etc. by the National Library of Pakistan, Islamabad, arranged according to the Dewey Decimal Classification, 20th edition and catalogued according to the Anglo American Cataloguing Rules, 2nd revised edition, 1988, with a full Author, Title, Subject Index and List of Publishers. Government of Pakistan, Department of Libraries National Library of Pakistan Constitution Avenue, Islamabad 2000 © Department of Libraries (National Bibliographical Unit) ⎯ 2000. ISSN 10190678 ISBN 969-8014-31-4 Price: Within Pakistan……..Rs. 1100.00 Outside Pakistan…….US$ 60.00 Available from: National Book Foundation, 6-Mauve Area, Taleemi Chowk, Sector G-8/4, ISLAMABAD P A K I S T A N. (ii) PREFACE The objects of the Pakistan National Bibliography are to list new works published in Pakistan, to describe each work in detail and to give the subject matter of each work as precisely as possible. The 1999 volume of the Pakistan National Bibliography covers Pakistani publications published during the year 1999 and received in the Delivery of Books and Newspapers Branch of the National Library of Pakistan at Islamabad under the Provisions of Copyright Law: Copy right Ordinance, 1962 as amended by Copyright (Amendment) Act, 1973 & 1992. Those titles which were not received under the Copyright Law but were acquired through purchase, gift and exchange have also been included in the Bibliography. Every endeavour has been made to ensure the accuracy of the information given. The following classes of publications have been excluded: a) The keys and guides to text-books and ephemeral material such as publicity pamphlets etc. -
Afghanistan Turmoil and Its Implications for Pakistan’S Security (2009-2016)
AFGHANISTAN TURMOIL AND ITS IMPLICATIONS FOR PAKISTAN’S SECURITY (2009-2016) By MUHAMMAD TARIQ Reg. No.11-AU-RM-M.PHIL-P/SCIENCE-F-5 Ph. D (Political Science) SUPERVISOR Dr. JEHANZEB KHALIL Co-Supervisor Dr. Manzoor Ahmad DEPARTMENT OF POLITCAL SCIENCE FACULTY OF SOCIAL SCIENCES, ABDUL WALI KHAN UNIVERSITY MARDAN Year 2018 1 AFGHANISTAN TURMOIL AND ITS IMPLICATIONS FOR PAKISTAN’S SECURITY (2009-2016) By MUHAMMAD TARIQ Reg. No.11-AU-RM-M.PHIL-P/SCIENCE-F-5 Ph. D (Political Science) Dissertation submitted to the Abdul Wali Khan University Mardan in the partial fulfillment of the requirements for the Degree of Ph. D in Political Science DEPARTMENT OF POLITCAL SCIENCE FACULTY OF SOCIAL SCIENCES, ABDUL WALI KHAN UNIVERSITY MARDAN YEAR 2018 2 Author’s Declaration I, Muhammad Tariq__hereby state that my Ph D thesis titled, “ Afghanistan Turmoil and Its Implications for Pakistan’s Security (2009-2016) is my own work and has not been submitted previously by me for taking any degree from this University i.e. ABDUL WALI KHAN UNIVERSITY MARDAN or anywhere else in the country/world. At any time if my statement is found to be incorrect even after my Graduate, the University has the right to withdraw my Ph D degree. Name of Student: Muhammad Tariq Date: 10 January, 2018 3 Plagiarism Undertaking I solemnly declare that research work presented in the thesis titled “AFGHANISTAN TURMOIL AND ITS IMPLICATIONS FOR PAKISTAN’s SECURITY (2009- 2016)” is solely my research work with no significant contribution from any other person. Small contribution/help wherever taken has been duly acknowledged and that complete thesis has been written by me. -
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. -
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. -
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. -
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. -
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. -
Proceedings of the Conference on Language & Technology 2012
Proceedings of the Conference on LANGUAGE & TECHNOLOGY 2012 Center for Language Engineering Al-Khawarizmi Institute of Computer Science University of Engineering and Technology Lahore- Pakistan Organized by Society for Natural Language Processing In collaboration with Center for Language Engineering Al-Khawarizmi Institute of Computer Science University of Engineering and Technology Lahore- Pakistan Copyright © 2012 Society for Natural Language Processing (SNLP), Pakistan www.snlp.org.pk ISBN: 978-969-9690-05-1 Conference Committees Organizing Committee General Chair: Sarmad Hussain, CLE, KICS-UET, Lahore, Pakistan Technical Committee Co-chair: Abid Khan, University of Peshawar, Pakistan Technical Committee Co-chair: Miriam Butt, University of Konstanz, Germany Publication Committee Co-chair: Tafseer Ahmed, University of Karachi, Pakistan Technical Committee Abid Khan, University of Peshawar, Pakistan (co-chair) Miriam Butt, University of Konstanz, Germany (co-chair) Afaq Husain, Riphah University, Pakistan Chai Wutiwiwatchai, NECTEC, Thailand Douglas Clarke, Cranfield University, UK Elena Bashir, University of Chicago, USA Ghulam Raza, PIEAS, Pakistan Imran Siddiqi, Bahria University Islamabad, Pakistan Khaver Zia, Beaconhouse National University, Pakistan Key-Sun Choi, KAIST, Korea Muhammad Afzal, KICSIT, Pakistan Pushpak Bhatacharyya, IIT Bombay, India Rachel Roxas, De La Salle University, Philippines Rajeev Sangal, IIIT Hyderabad, India Sarmad Hussain, KICS-UET, Pakistan Seemab Latif, NUST, Pakistan Tafseer Ahmed, University of Karachi, -
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 -
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. -
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. -
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.