The development of deep learning techniques has allowed Neural Machine Translation
(NMT) models to become extremely powerful, given sufficient training data and training time …

Automated Program Repair (APR) is defined as the process of fixing a bug/defect in the
source code, by an automated tool. APR tools have recently experienced promising results …

Abstract Advancements in Neural Machine Translation (NMT) greatly benefit the software
localization industry by decreasing the post-editing time of human annotators. Although the …

We have explored the effect of in domain knowledge during parallel sentence filtering from
in domain corpora. Models built with sentences mined from in domain corpora without …

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 …

We study the sentences written by second-language (L2) learners to improve the robustness
of current neural machine translation (NMT) models on this type of data. Current large …

This paper reports system descriptions for FJWU-NRPU team for participation in the WMT20
Biomedical shared translation task. We focused our submission on exploring the effects of …

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 …

Abstract Automated Program Repair (APR) is defined as the process of fixing a bug/defect in
the source code, by an automated tool. APR methods have recently experienced promising …

This report describes LIMSI's submissions to the Round 1 of translation shared task at MLIA.
We have submitted systems using various combinations of in-domain and out-of-domain …