معرفی
Kai Kugler is a Researcher at the University of Trier's Department of Computational Linguistics and Digital Humanities. He specializes in computational linguistics, natural language processing (NLP), and digital humanities. His work integrates machine learning techniques with text analysis, focusing on transformer models, sentiment analysis, and corpus linguistics.
He has contributed to collaborative projects such as the Research Center for Information Technology (FZI)'s SOSEC initiative (2022-2024) and the TCLC's Patterns project (2019-2023). He also led a funded project (€5,000) on command-line data processing learning modules (2023-2024). Kai has held administrative roles, including Member of the Council of Department II (2018-2024), Election Committee Chairman (2022), and Committee Member for a W2 Professorship appointment (2018).
His teaching spans undergraduate and graduate programs, including courses on NLP fundamentals, machine learning for text and media, and computational linguistics programming. He has advised numerous Bachelor’s and Master’s theses on topics ranging from BERT-based models to sentiment analysis and corpus construction.
Research interests include inverting BERT embeddings, multilingual language models, and applying NLP to sociolinguistic studies. His work bridges theoretical computational linguistics with practical applications in digital humanities and social media monitoring.
