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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 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.
This book offers a wide range overview of current research issues in Arabic linguistics, extending from the general to the specific. It includes in depth investigations of theoretical and applied topics that are of interest to general and Arabic linguistics: computational analysis of Arabic, Arabic dialectology, acquisition of Arabic as a native language, learning and teaching Arabic as a first or foreign language, sociolinguistic analysis of Arabic, and the status of Arabic in European academe. Despite the seeming diversity of the topics, they fall thematically into two major inter-related categories, analysis and learning. Each chapter is a thoughtful reflection of a major current trend in the study of Arabic.
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.
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
This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in nat...
Research in Natural Language Processing (NLP) has rapidly advanced in recent years, resulting in exciting algorithms for sophisticated processing of text and speech in various languages. Much of this work focuses on English; in this book we address another group of interesting and challenging languages for NLP research: the Semitic languages. The Semitic group of languages includes Arabic (206 million native speakers), Amharic (27 million), Hebrew (7 million), Tigrinya (6.7 million), Syriac (1 million) and Maltese (419 thousand). Semitic languages exhibit unique morphological processes, challenging syntactic constructions and various other phenomena that are less prevalent in other natural l...
This volume addresses recent issues concerning language change and standardization in postcolonial settings. The book brings together experts from North America, Africa, Asia and the insular areas of Australia and Trinidad and Tobago, and discusses aspects of language variation in the emergence of new varieties. The approaches range from linguistic diagnostics and related methodologies to the most accredited interpretative theories on the evolution of New Englishes. The book includes a section on emerging varieties of English in new media, and special focus has been given to those new varieties of Philippine and Nigerian English spoken in a non-canonical post-colonial context represented by the city of Turin, Italy. The result is a collection of studies that illuminate issues of language variability from different perspectives in order to contribute to the lengthy debate on language contact, diversification, speciation and standardization.
This book constitutes the refereed proceedings of the 7th Asia Information Retrieval Societies Conference AIRS 2011, held in Dubai, United Arab Emirates, in December 2011. The 31 revised full papers and 25 revised poster papers presented were carefully reviewed and selected from 132 submissions. All current aspects of information retrieval - in theory and practice - are addressed; the papers are organized in topical sections on information retrieval models and theories; information retrieval applications and multimedia information retrieval; user study, information retrieval evaluation and interactive information retrieval; Web information retrieval, scalability and adversarial information retrieval; machine learning for information retrieval; natural language processing for information retrieval; arabic script text processing and retrieval.