Nathanaël BEAU is in his second year of PhD at the Laboratoire de Linguistique Formelle at Paris Cité University under the supervision of Benoît Crabbé.
After obtaining his engineering degree at Arts et Métiers, he started his thesis on the subject of generating Python code from a natural language description. He approaches this question as a translation problem and is particularly interested in model optimization in low-ressources environment. He participated in the international conference Association for Computational Linguistics 2022 that took place in Dublin in May.
Keywords: Natural Language Processing, Code Generation, Neural Machine Translation, Transformer, Low-Ressources environment