Current areas of interest and research domains
Neural language models: architectures, cross-lingual transfer, interpretability, high-performing model training
Development of large raw corpora for language model training, with a focus on French, languages of France and low-resource languages
Machine translation, Text simplification
Multimodal NLP (speech, image)
Development of lexical resources (morphological, syntactic, semantic, etymological), for French and other languages
Interpretability of neural networks
Computational and quantitative morphology
“Classical” and computational etymology (Indo-European…)
Computational historical linguistics (Indo-European, French…)
Applications of NLP (opinion mining, computational œnology…)