Researcher Details |

Vicent Briva Iglesias

Vicent Briva-Iglesias is Assistant Professor in Translation Studies at the School of Applied Languages and Intercultural Studies (SALIS) at Dublin City University (DCU). Prior to this, he completed a PhD on human-centered machine translation and human-computer interaction at DCU, an M.Sc. (Hons.) in Translation Technology at Universitat Autònoma de Barcelona (Spain), and a BA (Hons.) in Translation and Interpreting at Universitat Jaume I (Spain). Vicent's research areas are as follows:

State-of-the-art language technologies: machine translation, natural language processing, and human-centered artificial intelligence
Human-computer interaction (HCI): user experience, usability, user-MT interaction, and human-centered language technologies
Translation Studies: localisation, translation ethics, and specialized translation and interpreting (specifically in the legal and medical domains)

Vicent is a member of ADAPT, the Research Ireland Centre for AI-Driven Digital Content Technology, and has been funded by D-REAL, the Research Ireland Centre for Digitally-Enhanced Reality and the EU COST Action CA19102 - Language in the Human-Machine Era.

In addition to his role at DCU, Vicent is Adjunct Professor at McGill University (Canada) and the Universitat Oberta de Catalunya (Spain), and frequently collaborates with the Barcelona Supercomputing Center as an external researcher of AI for healthcare. Vicent also has a strong industry background: he has been working in the translation, interpreting, and localisation industry for +8 years, and runs AWORDZ Language Engineering, a small language services provider.

Vicent welcomes expressions of interest for interdisciplinary PhD supervision and postdoctoral mentorship in the following areas:

Human-centered, augmented machine translation (HCAMT)
The use of language technologies by any type of user (beyond translators; e.g. doctors, migrants, asylum seekers, academics, etc.)
Language technologies in public services
Human-computer interaction perspectives of translation and interpreting
Localisation
The language services industry
Legal and financial translation

Peer Reviewed Journal

	Year	Publication
	2024	Briva-Iglesias, V.; Camargo, J.L.C.; Dogru, G. (2024) 'LARGE LANGUAGE MODELS “AD REFERENDUM”: HOW GOOD ARE THEY AT MACHINE TRANSLATION IN THE LEGAL DOMAIN?'. Monografias de Traduccion e Interpretacion (MonTI), . [Link] [DOI]
	2023	Lima-López, S.; Farré-Maduell, E.; Briva–Iglesias, V.; Gasco-Sanchez, L.; Krallinger, M. (2023) 'MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts'. PROCESAMIENTO DEL LENGUAJE NATURAL, . [Link] [DOI]
	2023	Briva-Iglesias, V.; O’Brien, S.; Cowan, B.R. (2023) 'The impact of traditional and interactive post-editing on Machine Translation User Experience, quality, and productivity'. Translation, Cognition and Behavior, 6 . [Link] [DOI]
	2022	Briva-Iglesias, V. (2022) 'English-Catalan Neural Machine Translation: state-of-the-art technology, quality, and productivity'. Revista Tradumatica, . [Link] [DOI]
	2022	Briva-Iglesias, V.; O'Brien, S. (2022) 'The Language Engineer: A Transversal, Emerging Role for the Automation Age'. Quaderns de Filologia: Estudis Linguistics, 27 . [Link] [DOI]
	2021	Briva-Iglesias, V. (2021) 'Human translation vs. machine translation: A constrastive analysis and factors involving machine translation use for legal translation'. Mutatis Mutandis, 14 . [Link] [DOI]

Conference Publication

	Year	Publication
	2023	Briva-Iglesias, V.; O’Brien, S. (2023) Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023 *Measuring Machine Translation User Experience (MTUX): A Comparison between AttrakDiff and User Experience Questionnaire* [Link]
	2021	Miranda-Escalada, A.; Farré-Maduell, E.; Lima-López, S.; Gascó, L.; Briva-Iglesias, V.; Agüero-Torales, M.M.; Krallinger, M. (2021) Social Media Mining for Health, SMM4H 2021 - Proceedings of the 6th Workshop and Shared Tasks *The ProfNER shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora* [Link]