nam a22 c 4500 nlp.9/608009052 nljbp 250625063104.0 cr ||||||||||| 241223s2012 ne |||||||||||||||||eng|d 2012015208 9789027273628 (e-Book) nljbp eng nljbp nljbp P309 492.7/8020285635 23 CF/2CSR bicssc LAN009000 bisacsh Challenges for Arabic Machine Translation Edited by Abdelhadi Soudi, Ali Farghaly, Günter Neumann and Rabih Zbib Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2012 ©2012 1 online resource (viii, 157 pp. ) text txt rdacontent computer c rdamedia online resource cr rdacarrier Natural Language Processing 1567-8202 9 Includes bibliographical references and index. Preface -- Introduction / Rabih Zbib and Abdelhadi Soudi -- Linguistic resources for Arabic machine translation / Ann Bies, Denise DiPersio and Mohamed Maamouri -- Using morphology to improve Example-Based Machine Translation / Violetta Cavalli-Sforza and Aaron B. Phillips -- Using semantic equivalents for Arabic-to-English / Kfir Bar and Nachum Dershowitz -- Arabic preprocessing for Statistical Machine Translation / Nizar Habash and Fatiha Sadat -- Preprocessing for English-to-Arabic Statistical Machine Translation / Rabih Zbib and Ibrahim Badr -- Lexical syntax for Arabic SMT / Hany Hassan -- Automatic rule induction in Arabic to English machine translation framework / Khaled Shaalan and Ahmad Hany Hossny 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. Provided by publisher. Afro-Asiatic languages Computational & corpus linguistics Translation Studies Soudi, Abdelhadi editor Farghaly, Ali editor Neumann, Günter editor Zbib, Rabih editor Hardbound version: Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2012 9789027249951 DOI https://doi.org/10.1075/nlp.9 JB e-Platform https://www.jbe-platform.com/content/books/9789027273628