Teaching NLP in the AI Era: Experiences from the University of Latvia

Inguna Skadina, Guntis Barzdins, Uldis Bojārs, Normunds Gruzitis, Pēteris Paikens


Abstract
From being a niche technology with practical applications in translation and speech recognition, NLP is now underpinning the AI era through LLMs, promising a universal economic impact in the future. Although transitioning to the AI era is hyped by BigTech companies, practical adoption of the LLM capabilities for economically impactful tasks and processes goes via education of specialists capable to apply it properly. Human-in-the-loop, accuracy measurement, fine-tuning, on-premises processing of sensitive data have become essential skills for applying NLP. This short paper introduces two language technology modules developed and piloted at the Faculty of Science and Technology of the University of Latvia.
Anthology ID:
2026.teachingnlp-1.6
Volume:
Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)
Month:
March
Year:
2026
Address:
Rabat, Morocco
Editors:
Matthias Aßenmacher, Laura Biester, Claudia Borg, György Kovács, Margot Mieskes, Sofia Serrano
Venues:
TeachingNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
34–36
Language:
URL:
https://aclanthology.org/2026.teachingnlp-1.6/
DOI:
Bibkey:
Cite (ACL):
Inguna Skadina, Guntis Barzdins, Uldis Bojārs, Normunds Gruzitis, and Pēteris Paikens. 2026. Teaching NLP in the AI Era: Experiences from the University of Latvia. In Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026), pages 34–36, Rabat, Morocco. Association for Computational Linguistics.
Cite (Informal):
Teaching NLP in the AI Era: Experiences from the University of Latvia (Skadina et al., TeachingNLP 2026)
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PDF:
https://aclanthology.org/2026.teachingnlp-1.6.pdf