Readability Assessment
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Canfora Gerardo ◽  
Andrea Di Sorbo ◽  
Fredella Michele ◽  
Anna Vacca ◽  
A. Visaggio Corrado

2021 ◽  
Vol 11 (18) ◽  
pp. 8607
Ibtehal Baazeem ◽  
Hend Al-Khalifa ◽  
Abdulmalik Al-Salman

Using physiological data helps to identify the cognitive processing in the human brain. One method of obtaining these behavioral signals is by using eye-tracking technology. Previous cognitive psychology literature shows that readable and difficult-to-read texts are associated with certain eye movement patterns, which has recently encouraged researchers to use these patterns for readability assessment tasks. However, although it seems promising, this research direction has not been explored adequately, particularly for Arabic. The Arabic language is defined by its own rules and has its own characteristics and challenges. There is still a clear gap in determining the potential of using eye-tracking measures to improve Arabic text. Motivated by this, we present a pilot study to explore the extent to which eye-tracking measures enhance Arabic text readability. We collected the eye movements of 41 participants while reading Arabic texts to provide real-time processing of the text; these data were further analyzed and used to build several readability prediction models using different regression algorithms. The findings show an improvement in the readability prediction task, which requires further investigation. To the best of our knowledge, this work is the first study to explore the relationship between Arabic readability and eye movement patterns.

John W. Stelzer ◽  
Ian J. Wellington ◽  
Maxwell T. Trudeau ◽  
Michael R. Mancini ◽  
Matthew R. LeVasseur ◽  

2021 ◽  
Vol 19 (4) ◽  
U. P. Nandakumar ◽  
Juno J. Joel ◽  
K. Jayaram Shetty ◽  
C. S. Shastry ◽  
C. H. Krishna Bhat

Tsuyoshi Okuhara ◽  
Hirono Ishikawa ◽  
Haruka Ueno ◽  
Hiroko Okada ◽  
Mio Kato ◽  

Allison Kirchner ◽  
Vishnutheertha Kulkarni ◽  
Jeffrey Rajkumar ◽  
Ahmed Usman ◽  
Shahzeb Hassan ◽  

2021 ◽  
Vol 6 (1) ◽  
pp. 77-85
Bohdan Tsebryk ◽  
Alexey Botchkaryov

The problem of developing a software service with a plug-in architecture for assessing the readability of text has been considered. The problem of text readability assessment has been analyzed. Approaches to the development of a software service for text readability assessment have been considered. The structure of the service for text readability assessment has been proposed. The structure of the service has been implemented using the Python programming language and the library Natural Language Toolkit (NLTK). The results of testing the service for text readability assessment have been presented.

2021 ◽  
Vol 6 (2) ◽  
pp. em0137
Jorge Morato ◽  
Ana Iglesias ◽  
Adrián Campillo ◽  
Sonia Sanchez-Cuadrado

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