| Issue |
SHS Web Conf.
Volume 88, 2020
International Scientific Forum “Issues of Modern Linguistics and the Study of Foreign Languages in the Era of Artificial Intelligence (dedicated to World Science Day for Peace and Development)” (LLT Forum 2020)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 7 | |
| Section | Conference 3 - Theory and Methodology of Translation and Translation Activities Based on the Principles of Automation and Formalization of Language Data | |
| DOI | https://doi.org/10.1051/shsconf/20208803003 | |
| Published online | 24 December 2020 | |
Translation of special texts from English into Russian: modern approaches to quality assessment
1
Yaroslavl State Technical University, 150023, Yaroslavl, Moskovskyi prospect, 88, Russian Federation
2
ENSIAS Mohammed V University in Rabat, Avenue des Nations Unies, Agdal Rabat Maroc B.P:8007.N.U, Morocco
3
RUDN University, 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
* Corresponding author: kramnaya@yandex.ru
Translation quality assessment is an urgent and complex problem, which is widely discussed by both theoretical researchers and practicing translators but today there is no single solution for this task. This article highlights and describes three approaches to assessing the quality of special translation: scientific, normative, including standards as well as practical guides, and formalized. The author demonstrates synergetic effect of combination of these three approaches.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.