Results 21 to 30 of about 170,599 (336)

Comparison of Readability Scores for Written Health Information Across Formulas Using Automated vs Manual Measures

open access: yesJAMA Network Open, 2022
This cross-sectional study examines the variability of readability scores across widely used online calculators.
O. Mac   +4 more
semanticscholar   +1 more source

Using Readability Tests to Improve the Accuracy of Evaluation Documents Intended for Low-Literate Participants

open access: yesJournal of MultiDisciplinary Evaluation, 2010
Background: Readability tests are indicators that measure how easy a document can be read and understood. Simple, but very often ignored, readability statistics cannot only provide information about the level of difficulty of the readability of ...
Julien B. Kouamé
doaj   +1 more source

BERT Embeddings for Automatic Readability Assessment [PDF]

open access: yesRecent Advances in Natural Language Processing, 2021
Automatic readability assessment (ARA) is the task of evaluating the level of ease or difficulty of text documents for a target audience. For researchers, one of the many open problems in the field is to make such models trained for the task show ...
Joseph Marvin Imperial
semanticscholar   +1 more source

Readability of Corporate Annual Reports of Top 100 Malaysian Companies

open access: yesMalaysian Management Journal, 2020
The main purpose of this paper is to compare the readability of two narrative sections in Malaysian corporate annual reports. Further more the authors investigate whether readability of one section reflects the readability of another section.
Rosli Mohamad, Azhar Abdul Rahman
doaj   +1 more source

Linguistic Features for Readability Assessment [PDF]

open access: yesWorkshop on Innovative Use of NLP for Building Educational Applications, 2020
Readability assessment aims to automatically classify text by the level appropriate for learning readers. Traditional approaches to this task utilize a variety of linguistically motivated features paired with simple machine learning models.
Tovly Deutsch   +2 more
semanticscholar   +1 more source

Text Simplification to Specific Readability Levels

open access: yesMathematics, 2023
The ability to read a document depends on the reader’s skills and the text’s readability level. In this paper, we propose a system that uses deep learning techniques to simplify texts in order to match a reader’s level.
Wejdan Alkaldi, Diana Inkpen
doaj   +1 more source

Improving health literacy with mumps, measles and rubella (MMR) vaccination: comparison of the readability of MMR patient-facing literature and MMR scientific abstracts

open access: yesTherapeutic Advances in Vaccines and Immunotherapy, 2022
Background: Historically, there have been many factors that have influenced mumps, measles and rubella (MMR) vaccine uptake, including media bias, social/economic determinants, parental education level, deprivation and concerns over vaccine safety ...
Tina Downey   +2 more
doaj   +1 more source

IFRS adoption and the readability of corporate annual reports: evidence from an emerging market

open access: yesFuture Business Journal, 2023
This study aims to investigate the impact of adopting International Financial Reporting Standards (IFRS) on the readability of corporate annual reports of Saudi companies.
Ibrahim El-Sayed Ebaid
doaj   +1 more source

Arabic L2 readability assessment: Dimensionality reduction study

open access: yesJournal of King Saud University: Computer and Information Sciences, 2022
Readability is a measure that associates a written text to a reader’s skill or grade level. Readability assessment is very important in the field of second or foreign language (L2) learning.
Naoual Nassiri   +2 more
doaj   +1 more source

Supervised and Unsupervised Neural Approaches to Text Readability [PDF]

open access: yesInternational Conference on Computational Logic, 2019
We present a set of novel neural supervised and unsupervised approaches for determining the readability of documents. In the unsupervised setting, we leverage neural language models, whereas in the supervised setting, three different neural ...
Matej Martinc   +2 more
semanticscholar   +1 more source

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