Research output per year
Research output per year
Personal profile
Overview
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):
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 2017 → Sept 2018
Award Date: 1 Nov 2018
Bachelor of Arts, Linguistic and Cultural Mediation, Universita Degli Studi di Torino
Sept 2014 → Jul 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 2021 → 31 Dec 2022
Teaching Associate in Translation and Intercultural Studies (Maternity cover), The University of Sheffield
19 Sept 2019 → 22 May 2020
Localisation Producer, Warner Media
Jul 2019 → Sept 2019
Transcreation Account Executive, Hogarth Worldwide
Aug 2018 → Jul 2019
Areas of expertise
- P Philology. Linguistics
- Translation Studies
- Translation Technology
- Localisation
- Machine Translation
- Post-editing
- Productivity
Keywords
- translation studies
- translation technology
- localisation
- machine translation
- post-editing
- productivity
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Research output
- 1 Article
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Is post-editing really faster than human translation?
Terribile, S., 19 Dec 2023, (E-pub ahead of print) In: Translation Spaces: a multidisciplinary, multimedia, and multilingual journal of translation .Research output: Contribution to journal › Article › peer-review
Open AccessFile92 Downloads (Pure)
Thesis
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Productivity in the Post-Editing of Neural Machine Translation: A Mixed-Methods Analysis of Speed and Edits at Toppan Digital Language
Terribile, S. (Author), Jones, H. (Supervisor) & Tipton, R. (Supervisor), 1 Aug 2024Student thesis: Phd
File