Download Free Arabic Computational Linguistics Book in PDF and EPUB Free Download. You can read online Arabic Computational Linguistics and write the review.

This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.
This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with a final chapter on machine translation issues. The chapter sizes correspond more or less to what is linguistically distinctive about Arabic, with morphology getting the lion's share, followed by Arabic script. No previous knowledge of Arabic is needed. This book is designed for computer scientists and linguists alike. The focus of the book is on Modern Standard Arabic; however, notes on practical issues related to Arabic dialects and languages written in the Arabic script are presented in different chapters. Table of Contents: What is "Arabic"? / Arabic Script / Arabic Phonology and Orthography / Arabic Morphology / Computational Morphology Tasks / Arabic Syntax / A Note on Arabic Semantics / A Note on Arabic and Machine Translation
Arabic is an exciting--yet challenging--language for scholars because many of its linguistic properties have not been fully described. Arabic Computational Linguistics documents the recent work of researchers in both academia and industry who have taken up the challenge of solving the real-life problems posed by an understudied language. This comprehensive volume explores new Arabic machine translation systems, innovations in speech recognition and mention detection, tree banks, and linguistic corpora. Arabic Computational Linguistics will be an indispensable reference for language researchers and practitioners alike.
This is the first comprehensive overview of computational approaches to Arabic morphology. The subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed. The book provides a showcase of the most advanced language technologies applied to one of the most vexing problems in linguistics. It covers knowledge-based and empirical-based approaches.
Arabic, one of the official languages of the United Nations, is spoken by more than half a billion people around the world and is of increasing importance in today's political and economic spheres. The study of the Arabic language has a long and rich history: earliest grammatical accounts date from the 8th century and include full syntactic, morphological, and phonological analyses of the vernaculars and of Classical Arabic. In recent years the academic study of Arabic has become increasingly sophisticated and broad. This state-of-the-art volume presents the most recent research in Arabic linguistics from a theoretical point of view, including computational linguistics, syntax, semantics, and historical linguistics. It also covers sociolinguistics, applied linguistics, and discourse analysis by looking at issues such as gender, urbanization, and language ideology. Underlying themes include the changing and evolving attitudes of speakers of Arabic and theoretical approaches to linguistic variation in the Middle East.
The Routledge Handbook of Arabic Linguistics introduces readers to the major facets of research on Arabic and of the linguistic situation in the Arabic-speaking world. The edited collection includes chapters from prominent experts on various fields of Arabic linguistics. The contributors provide overviews of the state of the art in their field and specifically focus on ideas and issues. Not simply an overview of the field, this handbook explores subjects in great depth and from multiple perspectives. In addition to the traditional areas of Arabic linguistics, the handbook covers computational approaches to Arabic, Arabic in the diaspora, neurolinguistic approaches to Arabic, and Arabic as a global language. The Routledge Handbook of Arabic Linguistics is a much-needed resource for researchers on Arabic and comparative linguistics, syntax, morphology, computational linguistics, psycholinguistics, sociolinguistics, and applied linguistics, and also for undergraduate and graduate students studying Arabic or linguistics.
In light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality research in the field. Each chapter addresses a common challenge in a theoretical or applied aspect of intelligent natural language processing related to Arabic language. Many challenges encountered during the development of the solutions can be resolved by incorporating language technology and artificial intelligence. The topics covered include machine translation; speech recognition; morphological, syntactic, and semantic processing; information retrieval; text classification; text summarization; sentiment analysis; ontology construction; Arabizi translation; Arabic dialects; Arabic lemmatization; and building and evaluating linguistic resources. This book is a valuable reference for scientists, researchers, and students from academia and industry interested in computational linguistics and artificial intelligence, especially for Arabic linguistics and related areas.
Until about 60 years ago, linguistic research on the Arabic language in the West was restricted to inquiries on Classical Arabic and the Classical tradition, and spoken Arabic dialects, with historical studies embedded within the broader field of Semitic languages. This situation is changing quickly, not only through the continuation of older research traditions, but also with the integration of new research fields and perspectives. With this expansion comes the danger of specialists in Arabic losing an overview of the field, and of leaving non-specialists without basic resources for evaluating domains of research which they may be interested in for comparative purposes. The Oxford Handbook of Arabic Linguistics will confront this problem by combining state-of-the-art overviews with essays on issues of perspective, controversy, and point of view. In twenty-four chapters, leading experts from around the world will lay out their own stances on controversial issues. The book not only evaluates ways in which questions and theories established in general linguistics and its sub-fields elucidate Arabic, but also challenges approaches which might result in accommodating Arabic to "non-Arabic" interpretations, and brings out the Arabic specificity of individual problems. The Handbook, in one compact volume, gives critical expression to a language which covers large populations and geographical areas, has a long written tradition, and has been the locus of major intellectual fervor and debate.
This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. It nicely fills a gap in the literature by covering approaches that belong to the three major paradigms of machine translation: Example-based, statistical and knowledge-based. It provides broad but rigorous coverage of the methods for incorporating linguistic knowledge into empirical MT. The book brings together original and extended contributions from a group of distinguished researchers from both academia and industry. It is a welcome and much-needed repository of important aspects in Arabic Machine Translation such as morphological analysis and syntactic reordering, both central to reducing the distance between Arabic and other languages. Most of the proposed techniques are also applicable to machine translation of Semitic languages other than Arabic, as well as translation of other languages with a complex morphology.
Arabic is an exciting--yet challenging--language for scholars because many of its linguistic properties have not been fully described. Arabic Computational Linguistics documents the recent work of researchers in both academia and industry who have taken up the challenge of solving the real-life problems posed by an understudied language. This comprehensive volume explores new Arabic machine translation systems, innovations in speech recognition and mention detection, tree banks, and linguistic corpora. Arabic Computational Linguistics will be an indispensable reference for language researchers and practitioners alike.