Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/48187
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dc.contributor.authorTomečková, Barbora-
dc.date.accessioned2021-03-04T08:27:08Z-
dc.date.available2021-03-04T08:27:08Z-
dc.date.issued2020-04-
dc.identifier.citationTomečková 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. 314-321uk_UA
dc.identifier.isbn978-617-646-477-8-
dc.identifier.urihttps://er.nau.edu.ua/handle/NAU/48187-
dc.description.abstractMechanical 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.uk_UA
dc.language.isoenuk_UA
dc.publisherNational Aviation Universityuk_UA
dc.subjecttranslationuk_UA
dc.subjecttranslateuk_UA
dc.subjecttranslatoruk_UA
dc.subjectissuesuk_UA
dc.subjectdefectsuk_UA
dc.subjectneural networksuk_UA
dc.subjectmechanical translationuk_UA
dc.titleThe Effects of Defectsuk_UA
dc.typeArticleuk_UA
Appears in Collections:Матеріали Міжнародної науково-практичної конференції «Фаховий та художній переклад теорія, методологія, практика» 2020

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