@inproceedings{landwehr-etal-2025-exploring,
title = {Exploring the Effect of Nominal Compound Structure in Scientific Texts on Reading Times of Experts and Novices},
author = {Isabell Landwehr and Marie-Pauline Krielke and Stefania Degaetano-Ortlieb andJin Zhao and Mingyang Wang and Zhu Liu},
url = {https://aclanthology.org/2025.acl-srw.25/},
doi = {https://doi.org/10.18653/v1/2025.acl-srw.25},
year = {2025},
date = {2025},
booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)},
isbn = {979-8-89176-254-1},
pages = {396-408},
publisher = {Association for Computational Linguistics},
address = {Vienna, Austria},
abstract = {We explore how different types of nominal compound complexity in scientific writing, in particular different types of compound structure, affect the reading times of experts and novices. We consider both in-domain and out-of-domain reading and use PoTeC (Jakobi et al. 2024), a corpus containing eye-tracking data of German native speakers reading passages from scientific textbooks. Our results suggest that some compound types are associated with longer reading times and that experts may not only have an advantage while reading in-domain texts, but also while reading out-of-domain.},
pubstate = {published},
type = {inproceedings}
}