@inproceedings{227e12863e334f7195450c79267060a4,
title = "Predicting Text Readability from Scrolling Interactions",
abstract = "Judging the readability of text has many important applications, for instance when performing text simplification or when sourcing reading material for language learners. In this paper, we present a 518 participant study which investigates how scrolling behaviour relates to the readability of English texts. We make our dataset publicly available and show that (1) there are statistically significant differences in the way readers interact with text depending on the text level, (2) such measures can be used to predict the readability of text, and (3) the background of a reader impacts their reading interactions and the factors contributing to text difficulty.",
author = "Sian Gooding and Yevgeni Berzak and Tony Mak and Matt Sharifi",
note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics.; 25th Conference on Computational Natural Language Learning, CoNLL 2021 ; Conference date: 10-11-2021 Through 11-11-2021",
year = "2021",
language = "الإنجليزيّة",
series = "CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings",
pages = "380--390",
editor = "Arianna Bisazza and Omri Abend",
booktitle = "CoNLL 2021 - 25th Conference on Computational Natural Language Learning, Proceedings",
}