Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/48187
Title: The Effects of Defects
Authors: Tomečková, Barbora
Keywords: translation
translate
translator
issues
defects
neural networks
mechanical translation
Issue Date: Apr-2020
Publisher: National Aviation University
Citation: Tomečková B. The Effects of Defects / Barbora Tomečková // Фаховий та художній переклад: теорія, методологія, практика: збірник наукових праць / за заг. ред. А.Г. Гудманяна, С.І. Сидоренка. – К.: Аграр Медіа Груп, 2020. – С. 314-321
Abstract: Mechanical translators are in the 21st century an inherent part of translatology. From using the old-school camera and paper cards the technology has shifted to the use of the neural networks, which means the need of technology to use statistical machine translation or neural networks to deep learning. The main translators which started using neural networks are Google Translator, Bing Microsoft Translator and Facebook´s automatic translation service. The technology is using its own brain to learn similarity between languages and evaluate the probability of translations. In contrary, the neural machine translation is not perfect. The proof are funny pictures on the Internet, but not every mistake translators made is that banal.
URI: https://er.nau.edu.ua/handle/NAU/48187
ISBN: 978-617-646-477-8
Appears in Collections:Матеріали Міжнародної науково-практичної конференції «Фаховий та художній переклад теорія, методологія, практика» 2020

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