Fulltext

Machine learning: Implications for translator education

Massey, Gary ; Ehrensberger-Dow, Maureen

In: Lebende Sprachen, 2017, vol. 62, no. 2, p. 300-312

Zum persönliche Liste hinzufügen
    Titel
    • Machine learning: Implications for translator education
    Autor
    • Massey, Gary. IUED Institute of Translation and Interpreting, ZHAW Zurich University of Applied Sciences, Theaterstraße 15 c, 8401 Winterthur, SwitzerlandZHAW Zurich University of Applied SciencesIUED Institute of Translation and InterpretingTheaterstraße 15c8401 WinterthurSwitzerland
    • Ehrensberger-Dow, Maureen. IUED Institute of Translation and Interpreting, ZHAW Zurich University of Applied Sciences, Theaterstraße 15 c, 8401 Winterthur, SwitzerlandZHAW Zurich University of Applied SciencesUED Institute of Translation and InterpretingTheaterstraße 15c8401 WinterthurSwitzerland
    Dokumententyp
    • Postprint
    Sprache
    • Deutsch
    Veröffentlicht in
    • Lebende Sprachen, 2017, vol. 62, no. 2, p. 300-312. De Gruyter Mouton
    Andere elektronische Ausgabe
    OAI-PMH-ID
    • oai:doc.rero.ch:331108
    Summary
    Machines are learning fast, and human translators must keep pace by learning with, from and about them. Deep learning (DL) and neural machine translation (NMT) are set to change the reality of translation and the distributions of tasks. Although theoretical and practical courses on computer-aided and/or machine translation abound, less attention has been paid to DL and NMT in most translation programmes. The challenge for translation education is to give students the knowledge and toolkits to learn when and how to embrace the new technologies, and to exploit how and when the added value of human intuition, creativity and ethics can and should be deployed.