Challenges for Arabic Machine Translation
1st Edition
Published on 1. August 2012
VIII, 157 pages
978-90-272-7362-8 (ISBN)
Description
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.
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Abdelhadi Soudi | Ali Farghaly | Guenter Neumann
Challenges for Arabic Machine Translation
Book
08/2012
John Benjamins Publishing Co
€95.40
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Content
Preface
Introduction: Challenges for Arabic machine translation
Rabih Zbib and Abdelhadi Soudi
Linguistic resources for Arabic machine translation: The Linguistic Data Consortium (LDC) catalog
Ann Bies, Denise DiPersio and Mohamed Maamouri
Using morphology to improve Example-Based Machine Translation: The case of Arabic-to-English translation
Violetta Cavalli-Sforza and Aaron B. Phillips
Using semantic equivalents for Arabic-to-English: Example-based translation
Kfir Bar and Nachum Dershowitz
Arabic preprocessing for Statistical Machine Translation: Schemes, techniques and combinations
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
Index
Introduction: Challenges for Arabic machine translation
Rabih Zbib and Abdelhadi Soudi
Linguistic resources for Arabic machine translation: The Linguistic Data Consortium (LDC) catalog
Ann Bies, Denise DiPersio and Mohamed Maamouri
Using morphology to improve Example-Based Machine Translation: The case of Arabic-to-English translation
Violetta Cavalli-Sforza and Aaron B. Phillips
Using semantic equivalents for Arabic-to-English: Example-based translation
Kfir Bar and Nachum Dershowitz
Arabic preprocessing for Statistical Machine Translation: Schemes, techniques and combinations
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
Index
