@inproceedings{skadina-etal-2026-teaching-nlp,
title = "Teaching {NLP} in the {AI} Era: Experiences from the {U}niversity of {L}atvia",
author = "Skadina, Inguna and
Barzdins, Guntis and
Boj{\={a}}rs, Uldis and
Gruzitis, Normunds and
Paikens, P{\={e}}teris",
editor = {A{\ss}enmacher, Matthias and
Biester, Laura and
Borg, Claudia and
Kov{\'a}cs, Gy{\"o}rgy and
Mieskes, Margot and
Serrano, Sofia},
booktitle = "Proceedings of the Seventh Workshop on Teaching Natural Language Processing ({T}each{NLP} 2026)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.teachingnlp-1.6/",
pages = "34--36",
ISBN = "979-8-89176-375-3",
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."
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%0 Conference Proceedings
%T Teaching NLP in the AI Era: Experiences from the University of Latvia
%A Skadina, Inguna
%A Barzdins, Guntis
%A Bojārs, Uldis
%A Gruzitis, Normunds
%A Paikens, Pēteris
%Y Aßenmacher, Matthias
%Y Biester, Laura
%Y Borg, Claudia
%Y Kovács, György
%Y Mieskes, Margot
%Y Serrano, Sofia
%S Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-375-3
%F skadina-etal-2026-teaching-nlp
%X 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.
%U https://aclanthology.org/2026.teachingnlp-1.6/
%P 34-36
Markdown (Informal)
[Teaching NLP in the AI Era: Experiences from the University of Latvia](https://aclanthology.org/2026.teachingnlp-1.6/) (Skadina et al., TeachingNLP 2026)
ACL