معرفی
Mathias Müller is a postdoctoral researcher at the University of Zurich, where he works on sign language translation and natural language processing (NLP) with a focus on scientific integrity and accessibility. He collaborates with Sarah Ebling, Annette Rios, and others as part of the EU-funded project EASIER.
His research interests span
- Sign language processing
- Scientific reproducibility
- Robustness of NMT systems
- Teaching neural machine translation (NMT)
- Markup technologies (XML, XSLT, etc.)
- Phonetics and acoustics
His recent publications highlight trends in sign language translation, including multimodal approaches, gloss-based translation, and Signwriting integration. These works emphasize evaluation protocols and addressing bias in NLP systems.
Scientific awards include
- Outstanding Paper Award at ACL 2023
- Best Paper Award at AfricaNLP 2023
- Best Poster Award at Swisstext 2023
He advises students like Shester and collaborates with teams on NMT system development. His work is supported by a 4-year Bridge Postdoc grant funded by the University of Zurich's Digital Society Initiative (DSI).
