Word representations are mathematical objects that capture the semantic and syntactic
properties of words in a way that is interpretable by machines. Recently, encoding word …

Contextualised word embeddings is a powerful tool to detect contextual synonyms.
However, most of the current state-of-the-art (SOTA) deep learning concept extraction …

This paper describes LIMSI's submissions to the translation shared tasks at WMT'20. This
year we have focused our efforts on the biomedical translation task, developing a resource …

A vast amount of biomedical information is available in the form of scientific literature and
government-authored patient information documents. While English is the most widely used …

Abstract Machine Translation (MT) technologies have improved in many ways and generate
usable outputs for a growing number of domains and language pairs. Yet, most sentence …

Traditionally, human–machine interaction to reach an improved machine translation (MT)
output takes place ex-post and consists of correcting this output. In this work, we investigate …

This paper describes LISN's submissions to two shared tasks at WMT'21. For the biomedical
translation task, we have developed resource-heavy systems for the English-French …

Abstract Machine Translation (MT) technologies have improved in many ways and generate
usable outputs for a growing number of domains and language pairs. Yet, most sentence …

The article describes LIMSI's submission to the first WMT'16 shared biomedical translation
task, focusing on the sole English-French translation direction. Our main submission is the …

2013- Directeur de recherche au CNRS, chercheur au LIMSI (LISN depuis janvier 2021)
dans le groupe “Traitement du Langage Parlé”. Entre juin 2013 et décembre 2019, j'ai été …