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  1. 2 Applied Linguistics Papers

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  1. 2 Nikishina M.

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  1. 2 2018

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Programy wspomagające tłumaczenie „w chmurze” – co i jak w trawie piszczy?

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Nikishina M.
Applied Linguistics Papers
|
2018
|
issue 25/1
171-179
EN
Computer-assisted translation (CAT) tools has not been immune to the radical change brought about by cloud computing. There are a number of feature-rich cloud-based CAT tools as well as the web versions of market-leading desktop-based solutions on the market today. However, some translators and translation companies are still reluctant to embrace the new technology. This paper is an overview of some of the most popular cloud-based CAT tools, such as Matecat, ABBYY Smartcat, Memsource and Lilt (an interactive translation environment which uses hybrid machine-human translation). The paper explores the possibility of those alternatives for desktop-based tools to be compatible with translator’s workflow and describes their functions and features, such as terminology management, translation memory, concordance searches, resource lookup as well as machine translation integration.
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Tłumaczenie w programie CAT z podglądem translatora: chwilowa fascynacja czy przyszłość tłumaczeń pisemnych?

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Nikishina M.
Applied Linguistics Papers
|
2018
|
issue 25/4
91-100
EN
until recent times TM (translation memory) and MT (machine translation) were perceived as opposite approaches to using technology in translation – the aim of TM used in CAT tools is to optimise translation workflow and the initial aim of MT is to replace a human translator. In the last years CAT tools began to implement MT giving translators additional suggestions. As a result the translator can edit both TM matches and MT output within a single CAT tool. This article is devoted to such a phenomenon. It addresses technologies used in machine translation and computer-assisted translation, explores differences between them and provides an insight into MT-assisted TM translation and post-editing which had been known first. It also presents a brief overview of the most curious findings in the field.
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