Supervision

Current

PhD students

  • Eli Stafford (September 2026-present). PhD funded by PRAIRIE-PSAI. Task-Specific and Linguistically Motivated Evaluation for Multilingual NLP. Co-supervised with Benoît Sagot.
  • Oriane Nédey (October 2024–present). PhD funded by the COLaF Inria DEFI. Machine Translation for low-resource dialectal variants. Co-supervised with Benoît Sagot and Thibault Clérice.
  • Armel Zebaze (November 2023–present). PhD funded by Inria. Analogy for multilingual NLP. Co-supervised with Benoît Sagot.
  • Nicolas Dahan (October 2023–present). PhD funded by the MaTOS ANR project. Evaluation of the machine translation of scientific documents. Co-supervised with François Yvon (CNRS).
  • Ziqian Peng (October 2023–present). PhD funded by the MaTOS ANR project (recruited at ISIR, CNRS). Machine translation of scientific documents. Co-supervised with François Yvon (CNRS).

Past

PhD students

Engineers

  • Panagiotis Tsolakis (October 2024–September 2026). Scientific article management infrastructure for translation (MaTOS project).
  • Malik Marmonier (May 2024–September 2026). Translating with large language models without parallel data for low-resource languages (TraLaLaM project). Co-supervised with Benoît Sagot. Malik is currently one of my PhD students.
  • Oriane Nédey (December 2023–September 2024). Data collection and translation models for a regional language of France (COLaF project). Oriane is currently one of my PhD students.
  • Seth Aycock (August 2023–October 2023). Domain adaptation for neural machine translation in low-resource settings. Seth is currently a PhD student at the University of Amsterdam.
  • Niyati Bafna (October 2022–June 2023). Linguistically inspired language models for closely related languages. Co-supervised with Benoît Sagot, Josef van Genabith and Cristina España-Bonet. Niyati is currently a PhD student at Johns Hopkins University.
  • Jesujoba Alabi (February 2022–June 2022). Domain adaptation in NMT. Jesujoba successfully completed a PhD student at the Saarbrücken Graduate School of Computer Science in 2026.
  • Thibault Charmet (February 2021–January 2022). Automatic tools for improving jurisprudence consistency, Co-supervised with Benoît Sagot and in collaboration with the Cour de Cassation.

Interns

  • Adle Ben Salem (April–September 2026). Adapting automatic evaluation metrics for scientific document translation. Co-supervised with François Yvon.
  • Camille Rey (September 2021–June 2022). Master 2 student, INALCO. Contrastive training for NMT models for lexical disambiguation. Co-supervised with Benoît Sagot.
  • Sonal Sannigrahi (End June 2021–August 2021). Intern, École Polytechnique Investigating the effect of input representations on language sharing in multilingual models.
  • Matthieu Futeral-Peter (May 2021–October 2021). Master 2 intern, ENSAE and ENS Paris-Saclay. Exploration of multilingual and multimodal word embeddings. Co-supervised with Benoît Sagot, Cordelia Schmid and Ivan Laptev.
  • Quentin Burthier (September 2020–January 2021). Master 2 student, ENS Paris-Saclay. Machine Translation of Noisy Texts. Co-supervised with Djamé Seddah.
  • Ashwani Tanwar (April–August 2020). MSC thesis, University of Edinburgh Improving Low-Resource Neural Machine Translation of Related Languages by Transfer Learning. Co-supervised with Alexandra Birch.
  • Farid Arthaud (February–June 2020). Master 1 (ENS, Paris), visiting student at the University of Edinburgh. Continuous learning for Neural Machine Translation from Human Post-edits. Co-supervised with Alexandra Birch.
  • Radina Dobreva (March–August 2019). MSC thesis, University of Edinburgh Integrating document structure information into Neural Machine Translation using cache-based models. Co-supervised with Annie Louis and Bonnie Webber.
  • Jie Zhou (March–August 2019). MSC thesis, University of Edinburgh. Exploiting Predictable Document Substructure in Neural Machine Translation. Co-supervised with Annie Louis and Bonnie Webber.