Issue |
E3S Web Conf.
Volume 273, 2021
XIV International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2021”
|
|
---|---|---|
Article Number | 12140 | |
Number of page(s) | 6 | |
Section | Environmental Education and Training of Ecologists | |
DOI | https://doi.org/10.1051/e3sconf/202127312140 | |
Published online | 22 June 2021 |
Pedagogical technologies of machine translation skills forming on the example of bachelor students specializing in mechatronics and robotics at Don State Technical University
Don State Technical University, 344000, Rostov-on-Don, Russia
* Corresponding author: fleur0707@rambler.ru
In this paper the authors took into consideration professional training of specialists who can use technical documentation in a foreign language. The definition of machine translation, its value, main advantages and disadvantages were examined. This research showed the importance of machine translation and the need to train students of technical specialties in MT skills. The model of a special program for training students and its theoretical and practical parts were described. Based on the results of the error analysis, the error types were categorized into 3 categories. The results of the tests were analysed and shown in the tables. A significant decrease in the number of errors was noted. Based on the findings, pedagogical implications were discussed regarding how teachers can successfully and effectively incorporate MT into the classroom studies.
© The Authors, published by EDP Sciences, 2021
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.