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Closing the Gap Between Academic Offer and Industry Demand : A Qualitative Research Study on Translation Technology-related Competences Within the EMT Framework

Master program titleMaîtrise universitaire en traduction et technologies mention localisation et traduction automatique
Defense date2020
Abstract

The European Master's in Translation (EMT) Framework released its second set of competences in 2017. The first set had not been revisited since 2009. This master's thesis examines whether the technological competence within the 2017's EMT Translation Competence Model meets the translation and localisation's industry demands. The investigation was carried out following a mix-methods approach in order to evaluate the current trends of the market, as well as to identify technological contents in the EMT MA programmes accepted for the period 2019-2024. The analysis concentrates on job requirements and the offer of theoretical and practical content in courses. The results of comparing the technology-related course guides of the EMT MA programmes against real market job requirements disclose some gaps between academia and the industry. Albeit courses in CAT tools and Machine Translation appear to be the most taught, knowledge concerning these is not as demanded in the market. In contrast, knowledge in QA and Localisation seemed to be the most demanded in the industry, but QA and Localisation contents did not seem to be given as much attention in the EMT MA programmes.

eng
Keywords
  • Translation technology
  • Translation competence
  • European Master's in Translation
  • Master programme
  • Postgraduate programme
  • Language Service Provider
  • Translation and localisation industry
Citation (ISO format)
GUARNÉ I AYUSO, Ona. Closing the Gap Between Academic Offer and Industry Demand : A Qualitative Research Study on Translation Technology-related Competences Within the EMT Framework. 2020.
Main files (1)
Master thesis
accessLevelPublic
Identifiers
  • PID : unige:145376
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Technical informations

Creation11/23/2020 3:03:00 PM
First validation11/23/2020 3:03:00 PM
Update time03/15/2023 11:34:32 PM
Status update03/15/2023 11:34:32 PM
Last indexation01/29/2024 10:26:07 PM
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