Sattar Izwaini

American University of Sharjah, Arabic Studies and Translation Department, Faculty Member

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Sattar Izwaini earned his PhD in Translation Studies from the University of Manchester Institute of Science and Technology, UMIST (now the University of Manchester), UK. He is an Associate Professor at the American University of Sharjah, United Arab Emirates, where he acted as the coordinator of the MA program in translation (2011-2014). He has taught languages, linguistics and translation at undergraduate and postgraduate levels in Britain and the Arab World. His research interests include audiovisual translation, corpus-based translation studies, contrastive linguistics & translation, localization, machine translation and terminology.

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Patterns of lexical collocations in Arabic

Amateur translation in Arabic-speaking cyberspace

Perspectives, 2012

With technological advances and the resulting explosion in communication, translation activity ha... more With technological advances and the resulting explosion in communication, translation activity has expanded beyond its traditional scope and settings. It has engaged new players, who are neither professional translators nor the parties who are traditionally part of translation projects. Amateur translation in the Arabic context is mainly carried out in cyberspace, using email and the Internet. This paper investigates localization and audiovisual translation carried out by volunteer translators. Issues such as types of materials translated, dynamics of the translation process, source languages, translator's intervention, quality, and competition with professional translators are discussed. Amateur translation in Arabic varies in subject and format. Many factors play a role in shaping this translation activity, such as individual passion and political or religious agendas. Generally speaking, the quality of translations is rather poor. Translators tend to modify the source text to a large extent.

3. Censorship and Manipulation of Subtitling in the Arab World

Problems of Arabic Machine Translation: Evaluation of Three Systems

The paper describes the translations of three online systems: Google, Sakhr, and Systran, using t... more The paper describes the translations of three online systems: Google, Sakhr, and Systran, using two sets of texts (Arabic and English) as input. It diagnoses the faults and attempts to detect the reasons, trying to shed light on the areas where the right translation solution is missed. Flaws and translation problems are categorized and analyzed, and recommendations are given. The two modes of translation (from and into Arabic) face a wide range of common linguistic problems as well as mode-specific problems. These problems are discussed and examples of output are given. The paper raises questions whose answers should help in the improvement of MT systems. The questions deal with establishing equivalents, lexical environment, and collocation. Cases that triggered these questions are illustrated and discussed.

Sattar Izwaini

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