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Personal profile


Silvia Terribile is a final-year PhD Researcher in Translation Studies. She investigates productivity in the post-editing of neural machine translation, in collaboration with Toppan Digital Language. She has been teaching translation, focusing on translation technologies, at the University of Sheffield, University of Manchester, and University of Roehampton. She has previously worked on localisation at world-leading companies, Hogarth Worldwide and Warner Media.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Associate Fellow, The Higher Education Academy

Award Date: 29 Jul 2020

Master in Science, Specialised Translation (Audiovisual), University College London (UCL)

Sept 2017Sept 2018

Award Date: 1 Nov 2018

Bachelor of Arts, Linguistic and Cultural Mediation, Universita Degli Studi di Torino

Sept 2014Jul 2017

Award Date: 14 Jul 2017

External positions

Visiting Lecturer in Translation Technology, Roehampton University

1 Feb 2023 → …

Tutor in Translation Studies, University of Manchester

1 Oct 2022 → …

Teaching Associate in Translation and Intercultural Communication Studies, The University of Sheffield

1 Feb 202131 Dec 2022

Teaching Associate in Translation and Intercultural Studies (Maternity cover), The University of Sheffield

19 Sept 201922 May 2020

Localisation Producer, Warner Media

Jul 2019Sept 2019

Transcreation Account Executive, Hogarth Worldwide

Aug 2018Jul 2019

Areas of expertise

  • P Philology. Linguistics
  • Translation Studies
  • Translation Technology
  • Localisation
  • Machine Translation
  • Post-editing
  • Productivity


  • translation studies
  • translation technology
  • localisation
  • machine translation
  • post-editing
  • productivity


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