Thomas Moerman PhD Researcher in NLP and AI, Ghent University (LT3)
I develop retrieval-augmented and synthetic-data methods for natural language processing (NLP) and artificial intelligence (AI), applied to a range of tasks such as machine translation, educational NLP, and fairness in language models.
News
- June 2026 Presented our EAMT 2026 paper on machine translation in the asylum context, shortlisted for a best-paper award.
- May 2026 ShAnEL-2, our multilingual short-answer grading dataset, was accepted at LREC 2026.
- March 2026 Our study on fuzzy retrieval for automated grading appeared in the Computational Linguistics in the Netherlands Journal.