This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1022) eHealth Literacy / Digital Literacy (560) Consumer & Patient Education and Shared-Decision Making (906) Digital Health Reporting Standards, Quality and Transparency in e-Research (145) Artificial Intelligence (2297) Generative Language Models Including ChatGPT (775) Natural Language Processing (943) Information Seeking, Information Needs (575) Health Information Exchange (152) Information Retrieval (358)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69772, first published .
Parallel Corpus Analysis of Text and Audio Comprehension to Evaluate Readability Formula Effectiveness: Quantitative Analysis

Parallel Corpus Analysis of Text and Audio Comprehension to Evaluate Readability Formula Effectiveness: Quantitative Analysis

Parallel Corpus Analysis of Text and Audio Comprehension to Evaluate Readability Formula Effectiveness: Quantitative Analysis

Authors of this article:

Arif Ahmed1 Author Orcid Image ;   Gondy Leroy1 Author Orcid Image ;   David Kauchak2 Author Orcid Image ;   Prosanta Barai1 Author Orcid Image ;   Philip Harber3 Author Orcid Image ;   Stephen Rains4 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Olszewski R, Brzeziński J, Watros K, Rysz J. Quantifying Readability in Chatbot-Generated Medical Texts Using Classical Linguistic Indices: A Review. Applied Sciences 2026;16(3):1423 View