Contrastive Study of Verbal Structures in Medical and General Corpora in French
Published in Lingvisticæ Investigationes, 2024
A linguistic analysis comparing the use of verbs in medical vs. general French language corpora.
Published in Lingvisticæ Investigationes, 2024
A linguistic analysis comparing the use of verbs in medical vs. general French language corpora.
Published in Proceedings of First International Workshop on Gaze Data and NLP (RANLP 2025), 2025
A study on how patient-facing clinical texts can be optimized for better comprehension through the analysis of reading gaze data.
Published in Proceedings of TALN 2025, 2025
This paper investigates how textual complexity affects reading patterns in French, utilizing eye-tracking data and surprisal metrics.
Published in Proceedings of the First International Workshop on Gaze Data and Natural Language Processing (RANLP 2025), 2025
We introduce the FETA corpus–a French Eye-TrAcking corpus combining three types of texts (general, medical and clinical) read by 46 participants.
Published in Proceedings of CL4Health @ LREC-COLING 2024, 2024
This research utilizes eye-tracking fixation data to analyze how readers process and comprehend complex medical terminology and structures.
Published in Studies in Health Technology and Informatics, 2022
An early study investigating the effectiveness of automated text simplification techniques on user comprehension in health contexts.