Natural Language Processing of Semitic Languages / edited by Imed Zitouni.

Format:

Book

Contributor:

Zitouni, Imed, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Theory and applications of natural language processing 2192-032X

Theory and Applications of Natural Language Processing, 2192-032X

Language:

English

Subjects (All):

Natural language processing (Computer science).

Computational linguistics.

Natural Language Processing (NLP).

Computational Linguistics.

Local Subjects:

Natural Language Processing (NLP).

Computational Linguistics.

Physical Description:

1 online resource (XXIV, 459 pages) : 61 illustrations, 23 illustrations in color.

Edition:

First edition 2014.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

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 languages. These challenges call for unique solutions, many of which are described in this book. The 13 chapters presented in this book bring together leading scientists from several universities and research institutes worldwide. While this book devotes some attention to cutting-edge algorithms and techniques, its primary purpose is a thorough explication of best practices in the field. Furthermore, every chapter describes how the techniques discussed apply to Semitic languages. The book covers both statistical approaches to NLP, which are dominant across various applications nowadays, and the more traditional, rule-based approaches, that were proven useful for several other application domains. We hope that this book will provide a "one-stop-shop'' for all the requisite background and practical advice when building NLP applications for Semitic languages.

Contents:

Part I Natural Language Processing Core-Technologies

1.Linguistic Introduction: The Orthography, Morphology and Syntax of Semitic Languages. R.Fabri, M.Gasser, N. Habash, G. Kiraz and S.Wintner

2.Morphological Processing of Semitic Languages. S.Wintner

3.Syntax and Parsing of Semitic Languages. R. Tsarfaty

4.Semantic Processing of Semitic Languages. M. Diab and Y.Marton

5.Language Modeling. I. Heintz

Part II Natural Language Processing Applications

6.Statistical Machine Translation. H. Hassan and K.Darwish

7.Named Entity Recognition. B.Mohit

8.Anaphora Resolution. K.M. Seddik and A. Farghaly

9.Relation Extraction. V. Castelli and I. Zitouni

10.Information Retrieval. K. Darwish

11.Question Answering. Y. Benajiba, P. Rosso, L. Abouenour, O. Trigui, K.Bouzoubaa and L.H. Belguith

12.Automatic Summarization

L.H. Belguith, M. Ellouze, M.H. Maaloul, M. Jaoua, F. Kallel Jaoua and P. Blache

13.Automatic Speech Recognition. H. Soltau, G. Saon, L. Mangu, H-K.Kuo, B.Kingsbury, S. Chu and F. Biadsy.

Other Format:

Printed edition:

ISBN:

978-3-642-45358-8

9783642453588

9783642453595

9783642453571

9783662524930

Access Restriction:

Restricted for use by site license.