Results 31 to 40 of about 85,445 (165)
Cogent Arts & HumanitiesThe article explores how AI affects the translation industry in Jordan, the primary concern is whether or not it necessitates the need for human professionals.
Alalddin Al-Tarawneh +2 more
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Translation and Localization: Frequent Arguments through Asymmetric Binoculars
transLogos: Translation Studies Journal, 2021 The rapid technological developments have led to emerging industries and practices, such as the localization of websites, video games, and software. This has been directly associated with the digitization of products, including their textual content. The
Madiha KASSAWAT
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Trends in e-tools and resources for translators and interpreters
Translation and Interpreting : the International Journal of Translation and Interpreting Research, 2021 Recent years have witnessed the rapid development of translation technology, which has achieved tremendous success in both academia and industry. Due to these rapid advances, it is clear that technology has already profoundly affected the way translation
Rouhullah Nemati Parsa
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Translational Research in Academia and Industry
Experimental Biology and Medicine, 2006 Research that bridges between scientific insights and clinical application is one of the most active and exciting areas of current biomedical activity. Much of this translational work occurs through collaborations between academic and industrial institutions, taking advantage of the respective strengths and resources of the two sectors.
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مجلة العلوم التربوية والدراسات الإنسانية سلسلة الآداب والعلوم التربوية والإنسانية والتطبيقيةThis study focuses on the importance of translation as a growing industry sector in Saudi society. It aims at investigating the reality of translation sector as an entrepreneurship, and the role of AI in translation in Saudi Arabia. Using the descriptive
Elghali Mahmoud Seddaig
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industrial process for quality machine translation
The Journal of Specialised Translation, 2013 Machine translation (MT) is not a tool. Machine translation is an industrial process. Selecting the right MT engine – rules-based (RBMT), statistical (SMT) or hybrid – is just one part of a process that, if correctly managed, is capable of lowering translation costs, increasing productivity and even improving quality and consistency. To reach this goal,
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Cogent Arts & HumanitiesThis study reports on a quasi-experimental study on the effect of an industry-driven online translation training program on the translator trainees’ performance across five indicators: language, accuracy, terminology, style and clarity.
Buthainah M. Al Thowaini, Mutahar Qassem
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Recent trends in the translation industry in Slovenia
JoSTrans: The Journal of Specialised Translation, 2008 Following two earlier studies, which examined the use of translation tools and the needs of the translation job market, this paper reports on the results of an empirical study into the state of affairs in the Slovene translation industry. A survey of the
Darja Fišer
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Translation, from Pen-and-Paper to Computer-Assisted Tools (CAT Tools) and Machine Translation (MT)
Proceedings, 2020 This paper reflects the technology-induced novelty of translation, which is perceived as a bridge between languages and cultures. We debate the extent to which the translation process maintains its specificity in the light of the new technology-enhanced ...
Bianca Han
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Research Questions and a Proposal for the Future Governance of Translation Data
JoSTrans: The Journal of Specialised Translation, 2019 This article seeks to assess the impact of data-driven methods of machine translation (MT), not just on translators, but more broadly on industry and society.
Joss Moorkens, Dave Lewis
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