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wiki:user:annamarklova [2026/07/17 11:35] – [Invited lectures] annamarklovawiki:user:annamarklova [2026/07/17 12:57] (aktuální) – [Current projects] annamarklova
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   * [[https://orcid.org/0000-0003-3392-1028|ORCID]]   * [[https://orcid.org/0000-0003-3392-1028|ORCID]]
  
-I am a corpus linguist and a psycholinguist, my research currently focuses mainly on the languages of artificial intelligence and AI slop. I completed my PhD at TU Dortmund and am currently based at the Faculty of Arts, Charles University, where I lead a project exploring linguistic variability in both human and AI language. Alongside the work on my own project, I also offer my skills as a painter and illustrator, creating visual stimuli for linguistic experiments.+I am a corpus linguist and a psycholinguist, my research focuses mainly on the languages of artificial intelligence and AI slop. I completed my PhD at TU Dortmund and am currently based at the Faculty of Arts, Charles University, where I lead a project exploring linguistic variability in both human and AI language. Alongside the work on my own project, I also offer my skills as a painter and illustrator, creating visual stimuli for linguistic experiments.
 ===== PRIMUS project: Sensitivity towards register-specific features: Combination of corpus and experimental evidence===== ===== PRIMUS project: Sensitivity towards register-specific features: Combination of corpus and experimental evidence=====
  
 What do people intuitively know about registers (the way language shifts between a pub conversation and a scientific paper) and does that intuition match what corpora tell us? And can large language models do the same? This project combines corpus and psycholinguistic evidence on register variation in various languages, with a growing focus on machine-generated language(s). The first corpus of Czech LLM-generated texts is being built as part of the project, tracking how models (and the language they produce) change over time, using stylometry, register analysis, and other methods. What do people intuitively know about registers (the way language shifts between a pub conversation and a scientific paper) and does that intuition match what corpora tell us? And can large language models do the same? This project combines corpus and psycholinguistic evidence on register variation in various languages, with a growing focus on machine-generated language(s). The first corpus of Czech LLM-generated texts is being built as part of the project, tracking how models (and the language they produce) change over time, using stylometry, register analysis, and other methods.
 +
 +The project is funded from 2025 to 2028.
  
 ===== Artificial Intelligence Language Lab ===== ===== Artificial Intelligence Language Lab =====
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 ===== Current projects ===== ===== Current projects =====
  
-  * **PRIMUS: Sensitivity towards register-specific features: Combination of corpus and experimental evidence** +  * PRIMUS: Sensitivity towards register-specific features: Combination of corpus and experimental evidence 
-  * **GAČR: Large language models through the prism of corpus linguistics**+  * GAČR: Large language models through the prism of corpus linguistics
  
 ===== Education ===== ===== Education =====

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