@article{jbp:/content/journals/10.1075/itl.165.2.01col, author = "Collins-Thompson, Kevyn", title = "Computational assessment of text readability: A survey of current and future research", journal= "ITL - International Journal of Applied Linguistics", year = "2014", volume = "165", number = "2", pages = "97-135", doi = "https://doi.org/10.1075/itl.165.2.01col", url = "https://www.jbe-platform.com/content/journals/10.1075/itl.165.2.01col", publisher = "John Benjamins", issn = "0019-0829", type = "Journal Article", keywords = "text complexity", keywords = "reading difficulty", keywords = "machine learning", keywords = "computational linguistics", keywords = "readability", abstract = "Assessing text readability is a time-honored problem that has even more relevance in today’s information-rich world. This article provides background on how readability of texts is assessed automatically, reviews the current state-of-the-art algorithms in automatic modeling and predicting the reading difficulty of texts, and proposes new challenges and opportunities for future exploration not well-covered by current computational research.", }