The area of news translation is recently gaining increasing interest in Translation Studies. Research in this area has also begun to receive greater attention, although it remains less frequent in relation to Arabic translation. The intricacies of translating news lie in the fact that they are ideologically-loaded. This paper seeks to investigate the impact of ideology in mediating news headlines from English into Arabic. This study draws on Hatim and Mason's (1997) distinction of the impingement of ideology on translation to meet a set of beliefs and systems of a particular media institution. For this study, 32 news headlines produced by Reuters covering Egypt's post-Arab Spring uprising were examined. Of these, 22 of them were mediated by Al-Arabiya and 10 by Aljazeera on their Arabic webpages, and these were examined to see the degree of ideology mediation. The paper also investigates the nature of news translation, and asks whether this complex process is adequately and clearly defined within the field of Translation Studies. It has been shown that the news headlines have been ideologically mediated in a way that completely different from the original texts and conform to the news organizations’ political/ideological leanings. This resulted in reformulating a different Arabic version from the original.
Hamza Ethelb(5-2016)

While approaches related to Descriptive Translation Studies are mainly designed to analyze translated work (the product), Anthony Pym’s approach to Translation archeology, humanization and the intercultural model tends to produce much more focus on translators (the producers) and the context in which those translators worked within or what Pym calls ‘intercultural space’, a concept used to denote to a cross-cultural/ multicultural social space. This paper is to reflect this intercultural model over Al-Andalus, the Arabic name for the Islamic Iberian Peninsula, where the Arabs settled for four centuries bringing with them their own social, political and cultural framework study and where the Arab Islamic culture had flourished. Based on this model, the research is to spot light on the ‘human translator’, address questions such as why such translations were produced in this particular place and time ‘the social causation’, the nature of the relationship of those translators to their patrons and clients their ‘social entourage’ (Pym1998) and to spot light on the social roles played by translators in mediating between cultures and the transmission of Arabic knowledge/science to Europe during the Medieval ages. I believe that putting focus on Pym’s archeology of translation would provide guidance for two types of translation historians: researchers who are interested in intercultural and interdisciplinary collaboration and those who study regional histories that have received little attention by scholars of translation, besides providing us with answers to what translation can tell us about a given historical context. On the other hand, the analysis of this period in specific would help bring this important era of translation history out from the shadows and give it the visibility that it deserves. arabic 19 English 60
Thuraya Bashir El-Wifati(12-2017)

Machine translation tools are widely used by companies. The tools are on an increasing demand. Translators need to equip themselves with the knowledge and the mastering of these tools. This study explores two machine translation tools involved in website localization. These tools are Alchemy Catalyst and Trados Tageditor. The study adopts an evaluative methodology to shed light on the intricacies and technicalities of these two localization tools. It discusses some of the cultural issues that localizers come across in the process of localization. In addition, it delves into the technical issues, mainly focusing on localizing into Arabic with a special focus on string, text, lexis, and orthography. The study concludes that the process of localization requires teamwork and involvement of computer engineers, and both localization tools are valuable in achieving a localization task.
Hamza Ethelb(8-2019)