2026 EACL EACL 2026

Bridging Applied Experience and Research Contexts in Ukrainian NLP Education

Abstract

AbstractWe present an open, bachelor-level Natural Language Processing (NLP) course developed at Ukrainian Catholic University and delivered in Ukrainian. The course addresses several challenges in NLP education: adapting predominantly English-centric materials to a different linguistic and cultural context, supporting students with heterogeneous technical backgrounds, and balancing foundational theory with industry-relevant skills. All course materials, including lecture slides, notebooks, video recordings, and assignments, are publicly available. We describe our pedagogical design choices, focusing on culturally adapted tasks, integrated ethics, project-based assessment, and continuous student feedback. Our experience demonstrates that it is feasible to build a comprehensive and modern NLP curriculum from scratch in a non-English context, even when instructors come primarily from industry backgrounds.

🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio