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Challenges for Arabic Machine Translation

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  • Editor(s): Abdelhadi Soudi 1 , Ali Farghaly 2 , Günter Neumann 3  and Rabih Zbib 4
  • View Affiliations Hide Affiliations
    Affiliations: 1: École Nationale de l'Industrie Minérale; 2: Monterey Institute of International Studies; 3: German Research Center for Artificial Intelligence; 4: BBN Technologies (USA)
  • Format: PDF
  • Publication Date August 2012
  • e-Book ISBN: 9789027273628
  • DOI: https://doi.org/10.1075/nlp.9

Abstract

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.

Subjects: Translation studies; Afro-Asiatic languages; Computational & corpus linguistics

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