Title: Web-based reading support system: assigning pronunciations to difficult words according to the vocabulary level of individual users
Authors: Shoji Mizobuchi; Kazuaki Ando
Addresses: Faculty of Science and Engineering, Kinki University, 3-4-1 Kowakae, Higashiosaka, Osaka 577-8502, Japan ' Faculty of Engineering, Kagawa University, 2217-20 Hayashi-cho, Takamatsu, Kagawa 761-0396, Japan
Abstract: This paper proposes a system that helps a user read a document on the web more easily by assigning pronunciations of difficult words in the document based on the vocabulary level of the user and the difficulties of characters in the document. Vocabulary level of a user and the difficulties of characters were estimated using the Item Response Theory (IRT). A simulation was conducted to evaluate the estimation of user vocabulary level. The results confirmed that the user vocabulary level can be estimated reasonably accurately when the user operates the pronunciations of half of the words with difficulties that are higher than his/her vocabulary level. The performance of the system was measured in terms of time and data size. The measurement results showed that the system performance was within an acceptable range.
Keywords: online reading support; web-based systems; internet; pronunciations; difficult words; user vocabulary levels; individual users; item response theory; IRT; character difficulty; text characters; simulation.
International Journal of Computer Applications in Technology, 2015 Vol.52 No.2/3, pp.196 - 203
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 26 Sep 2015 *