Keynote Speakers
EAMT 2026 - June 15–18, 2026
Table of Contents
Dr. Rachel Bawden
ALMAnaCH project-team, Inria Paris, France
Currently a fellow at PR[AI]RIE-PSAI research institution
Dr. Rachel Bawden is a researcher in the ALMAnaCH project-team at Inria Paris, France. She is a specialist of Machine Translation (MT), having worked on contextual MT during her PhD at the LIMSI laboratory in France and MT for low-resource languages in her post-doc at the University of Edinburgh. She is currently working on a range of topics in MT and multilingual NLP, focusing mainly on language variation, both for historical and contemporary texts (for example user-generated content, dialectal variation), evaluation and resource creation. She is currently a fellow in the PR[AI]RIE-PSAI research institution.
Keynote Talk
Large Language Models and Machine Translation: From Low-Resource to Unseen Languages
Abstract:
Large language models (LLMs) have been offering new approaches to machine translation (MT). Much of today's research involves trying to tease out the underlying knowledge of the LLMs to improve translation quality, especially in scenarios where standard prompting does not lead to good results. For many of the world's low-resource languages, LLMs have not been the magic solution for translation, with new problems arising such as failure to translate in the right language and uncontrolled hallucination, and there remain significant challenges.
In this talk, I will be discussing several research directions in low-resource MT with LLMs that I recently published with colleagues. These include (i) the decomposition of sentences into simpler components to aid the search for useful few-shot examples, (ii) the creation of high quality synthetic parallel data for under-resourced languages and finally (iii) the explicit learning of translation from grammar descriptions, tested with encrypted and therefore unseen languages.
Dr. Antonio Toral
Universitat d'Alacant, Spain
Distinguished Researcher in Machine Translation
Antonio Toral works as Distinguished Researcher in Machine Translation at the Universitat d'Alacant. Previously, he was an Associate Professor in Language Technology at the University of Groningen, where he coordinated the Computational Linguistics research group. Prior to that, he served as a postdoctoral researcher and research fellow at Dublin City University. He completed his PhD studies at the Universitat d'Alacant and the Istituto di Linguistica Computazionale.
His research interests include the application of machine translation (MT) to literary texts, MT for under-resourced languages and the computational analysis of translations produced by machines and humans. He coordinated the Abu-MaTran project, which was flagged by the European Commission as a success story and won the best paper award at MT Summit 2019 for his work on post-editese.
Keynote Talk
Talk title to be announced
Abstract will be available soon.