DocumentCode
1882740
Title
Flexible learning model for computer-aided technical translation
Author
Bezrukov, Artem
Author_Institution
Dept. of Foreign Languages in Prof. Commun., Kazan Nat. Res. Technol. Univ., Kazan, Russia
fYear
2013
fDate
25-27 Sept. 2013
Firstpage
673
Lastpage
675
Abstract
Globalization of economy makes technical translators a necessary part of world engineering community. Computer-aided technologies became an indispensable component of professional technical translation in the early 21st Century. The paper offers flexible learning approach to providing technical computer-aided translation programs for various target groups: from engineering students with technical translation minor to technical specialists in translation agencies. The business model for technical translation applied in translation companies is used as an invariant component. A real technical translation project carried out by all the participants is used as a feedback tool to customize the study program. Each student or group pursues individual pathway through a technical translation algorithm with software tools chosen for each stage. The required learning outcomes are skills in optimization and facilitation of a translation process.
Keywords
computer aided instruction; document handling; technical presentation; business model; computer-aided technical translation; computer-aided technology; economy globalization; engineering community; engineering students; feedback tool; flexible learning approach; flexible learning model; learning outcome; professional technical translation; software tools; technical specialists; technical translation algorithm; technical translation minor; translation agency; translation company; Educational institutions; Memory management; Optimization; Software; Software algorithms; Terminology; Computer-aided; Flexible Learning; Project Based Learning; Technical Translation;
fLanguage
English
Publisher
ieee
Conference_Titel
Interactive Collaborative Learning (ICL), 2013 International Conference on
Conference_Location
Kazan
Type
conf
DOI
10.1109/ICL.2013.6644680
Filename
6644680
Link To Document