XML et documents multilingues
Natural language processing
PhD Research Project
Anaphora Resolution and Translation: a neural machine translation approach
Jonathan David Mutal is a Research and Teaching Assistant at the Department of Translation Technology (referred to by its French acronym TIM). His research interests concentrate on neural machine translation, machine learning, natural language processing and evaluation. He is a strong advocate of producing research to bridge the gap between academia and business.
Jonathan holds a BSc (5 years degree) in Computer Science and his master thesis consisted of an ongoing academia-industry collaboration that aims to integrate MT into the workflow of a big language service provider. The thesis describe the evaluations carried out to select an MT tool (commercial or open-source) and assess the suitability of machine translation for post-editing in the LSP’s various subject areas and language pairs.