🧑‍🔬 Tom S Juzek

🏛️ Affiliations

🎓Florida State UniversityTallahassee · United States2015–2026 · 14 papersEmployment since 2022 · Assistant Professor of Computational Linguistics, Modern Languages and Linguisticscurrent🎓Saarland UniversitySaarbrücken · Germany2019–2020 · 5 papers🎓University of OxfordOxford · United Kingdom2011–2016 · 1 paperEducation 2011–2016 · D.Phil.

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Exploring diachronic syntactic shifts with dependency length: the case of scientific English (2020 · 9 citations)
   The authors test whether scientific English became more efficient over time, in the sense of shorter dependencies.
2. Exploring the Structure of AI-Induced Language Change in Scientific English (2025 · 4 citations)
   Since about 2022, words such as "delve", "crucial" and "intricate" have risen sharply in scientific abstracts, and this rise is usually blamed on LLMs.
3. Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English (2025 · 4 citations)
   The paper asks whether the well-documented surge of "LLM-flavoured" words such as delve or intricate only shows people pasting AI-generated text, or whether it signals a change in how humans themselves produce language.
4. The Syntactic Acceptability Dataset (Preview): A Resource for Machine Learning and Linguistic Analysis of English (2024 · 2 citations)
   Syntacticians usually judge sentences against their own formal theories (grammaticality), while ordinary speakers judge how natural a sentence feels (acceptability).

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. Exploring diachronic syntactic shifts with dependency length: the case of scientific EnglishTom S Juzek, Marie Pauline Krielke, Elke TeichEnglish · 9 citations
2. Exploring the Structure of AI-Induced Language Change in Scientific EnglisharXiv:2506.21817 · The International FLAIRS Conference Proceedings (Vol. 38), 2025Riley Galpin, Bryce Anderson, Tom S. Juzek2025 · 4 citations
3. Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken EnglishProceedings of the AAAI/ACM Conference on AI Ethics and SocietyBryce Anderson, Riley Galpin, Tom S. Juzek2025 · 4 citations
4. The Syntactic Acceptability Dataset (Preview): A Resource for Machine Learning and Linguistic Analysis of EnglishLanguage Resources and Evaluation Conference (LREC)Tom S Juzek2024 · 2 citations
5. Schwa-deletion in German noun-noun compounds ↗Proceedings of the Workshop on the Cognitive Aspects of the Lexicon · no summary yetTom Juzek, Jana Häussler2020

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Bryce Anderson ×2
• Riley Galpin ×2
• Elke Teich
• Marie Pauline Krielke

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Language Resources and Evaluation Conference (LREC): LREC 2024
• Proceedings of the AAAI/ACM Conference on AI Ethics and Society: Proceedings of the AAAI/ACM Conference on AI Ethics and Society 2025
• Universal Dependencies Workshop (UDW): UDW 2020
• Proceedings of the Workshop on the Cognitive Aspects of the Lexicon

🔗 Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated 31 October 2026

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