My research interests revolve around natural language processing (NLP) and machine learning (ML) in challenging scenarios, such as under-resourced languages, multilingual learning, or historical documents. I am particularly interested in linguistically-informed approaches to NLP, as well as improving NLP for a wider range of languages and text genres.
Previously, I was a postdoctoral researcher in the CoAStaL NLP group at University of Copenhagen, Denmark, supervised by Anders Søgaard. During this time, I worked on a project on “morphologically-informed representations for NLP” that received funding from the EU in form of a Marie Skłodowska-Curie Fellowship. Before that, I worked on various research projects related to computational historical linguistics supervised by Stefanie Dipper at Ruhr-Universität Bochum, Germany, where I also obtained my PhD degree in computational linguistics.
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Department of Computing
School of Engineering, Jönköping University
55318 Jönköping, Sweden