Dr Loïc Barrault
PhD
Department of Computer Science
Senior Lecturer
PGR Progression Tutor
Member of the Natural Language Processing (NLP) research group

Full contact details
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Loïc Barrault (M) is a Senior Lecturer in the Natural Language Processing group at the University of Sheffield. He obtained his PhD at the University of Avignon in 2008 in the field of automatic speech recognition. He then did 2 years as researcher and 9 years as Associate Professor at LIUM, Le Mans Université working on statistical and neural machine translation.
Loïc Barrault participated in many international projects, namely EuroMatrix+, MateCAT, DARPA BOLT, and national projects, namely ANR Cosmat, “Projet d’Investissement d’Avenir” PACTE and a large industrial project PEA TRAD. He coordinated the EU ChistERA M2CR project and is currently actively involved in the ChistERA ALLIES project.
- Research interests
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Loïc's research work focuses on statistical and neural machine translation, by including linguistics aspects (factored neural machine translation), by considering multiple modalities (multimodal neural machine translation) and by designing lifelong learning methods for MT. He is one of the organisers of the Multimodal Machine Translation shared task at WMT.
- Publications
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Books
Journal articles
- Addressing data sparsity for neural machine translation between morphologically rich languages. Machine Translation. View this article in WRRO
- Grounded Sequence to Sequence Transduction. IEEE Journal of Selected Topics in Signal Processing, 14(3), 577-591.
- Introduction to the special issue on deep learning approaches for machine translation. Computer Speech & Language, 46, 367-373.
- Building and using multimodal comparable corpora for machine translation. Natural Language Engineering, 22(4), 603-625.
- Translation project adaptation for MT-enhanced computer assisted translation. Machine Translation, 28(2), 127-150.
Chapters
- Parallel Texts Extraction from Multimodal Comparable Corpora, Advances in Natural Language Processing (pp. 40-51).
Conference proceedings papers
- Probing the Need for Visual Context in Multimodal Machine Translation. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp 4159-4170). Minneapolis, Minnesota, 2 June 2019 - 7 June 2019. View this article in WRRO
- A Study on Multilingual Transfer Learning in Neural Machine Translation: Finding the Balance Between Languages (pp 59-70)
- What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), July 2018 - July 2018.
- View this article in WRRO
- Word Representations in Factored Neural Machine Translation. Proceedings of the Second Conference on Machine Translation, September 2017 - September 2017.
- Supervised Learning of Universal Sentence Representations from
Natural Language Inference Data. Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, September 2017 - September 2017. View this article in WRRO
- Neural Machine Translation by Generating Multiple Linguistic Factors (pp 21-31)
- Continuous Adaptation to User Feedback for Statistical Machine Translation. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015 - 2015.
- Parallel Texts Extraction from Multimodal Comparable Corpora (pp 40-51)
- Frame-based acoustic feature integration for speech understanding. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 31 March 2008 - 4 April 2008.
Presentations