Program Teoreticko-metodologického semináře Ústavu lingvistiky FF UK
zimní semestr 2025/26
středa 14:10–15:40, P104
15. října
Ondřej Tichý (OAJD): LLMs in Social Sciences and Humanities
Anotace:
One thing is clear about the role of AI in higher education: it is unavoidable. However, many other
aspects remain uncertain. This paper aims to provide illustrative examples, offer several suggestions,
and—most importantly—foster a discussion about how and in what contexts AI should be both taught
and used in the context of humanities and social sciences.
The official Recommendations regarding the use of generative artificial intelligence for university
educators at Charles University advise educators to “Monitor developments in AI tools and spend some
of your time exploring their capabilities. Check out what they can do, how they can benefit your work,
and how reliable they are or aren’t… Actively use these tools where appropriate. Encourage students
to use AI tools while respecting their varying levels of knowledge and skills.”
These recommendations are, perhaps necessarily, somewhat vague—particularly regarding questions
such as: To what extent should teachers and students study the theory behind large language models
to truly understand their capabilities and limitations? How should AI be studied and taught? In which
areas is the use of AI most beneficial, and where might it pose the greatest challenges?
29. října
Anna Marklová (OČNK): Corpus and Psycholinguistic Perspectives on LLMs
Anotace:
If you’re already tired of hearing about AI, brace yourself: it is not going away. That is why it is crucial
to study AI language, from the early days of AI Dungeon (circa 2019), which gave a broad public its first
taste of large language models, to the present (and beyond). In this talk, I present research on AI
language using corpus- and psycholinguistic methods. Firstly, a live demonstration (or its screenshots
alternative) of new publicly accessible AI-corpora, AI-Brown and AI-Koditex, will take place. Then,
experiments on on AI-generated texts (including poetry), analyses of stylistic variability, and a study of
AI-generated images will be presented. The goal of this talk is to offer a concise overview of recent
work on large language models conducted at the Czech National Corpus.
Let’s study AI before it studies us.
12. listopadu
Vojtěch John (ÚFAL): Comparing quantitative morphological features of languages: a study
on annotated multi-parallel texts
Anotace: tbs
26. listopadu
Michal Láznička (OOL): Language in Aphasia with Naive Discriminative Learning
Anotace: tbs
10. prosince
Tomáš Savčenko (OAJD): Semantic networks for children with typical acquisition and
specific language impairment
Anotace:
I am preparing a study on semantic networks based on word vectors trained on the Clinical English
Gillam corpus (Gillam & Pearson 2004) containing narratives of children with typical language
development and specific language impairment (SLI). The aim is to analyse the structure of those
semantic networks at different stages of acquisition with the hypothesis that a ‚small-world
structure‘, characterized by prominent hub words with many connections and local clusters of closely
related words, will be found in typically developing children while a network with less dominant hubs
and more evenly linked nodes will be found for children with SLI. Small-world network allows, in
theory, effective search strategies in local clusters as well as across distant domains via the hub
nodes (Watts & Strogatz 1998; Steyvers & Tenenbaum 2005) which is why I assume that its
disruption should occur in SLI. Special focus will lie on whether this network measure would be able
to distinguish typical and SLI children with similar mean length of utterance in which case this
network measure would outperform a traditional psycholinguistic measure used to diagnose SLI (Rice
et al. 2010).
7. ledna
Ondřej Vimr (ÚČL AV ČR): Atlas české světové literatury (1817–2019)
Anotace: tbs
