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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1769) Consumer & Patient Education and Shared-Decision Making (1299) eHealth Literacy / Digital Literacy (917) Information Retrieval (496) Natural Language Processing (1321) Health Information Exchange (237) Information Seeking, Information Needs (661) Digital Health Reporting Standards, Quality and Transparency in e-Research (245) Artificial Intelligence (4946) Generative Language Models Including ChatGPT (1606)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69772, first published .
Audiologist with patient using computer for hearing test

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
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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

Books/Policy Documents

  1. Fran P, Pereira Sá R, de Jesus Queiroz L, de Almeida Fonseca Viola P, Costa S, de Souza B, de Almeida J, Bandeira Diniz J, Costa Ribeiro C. Intelligent Systems. View