Sorting Texts by Readability
2010 ◽
Vol 36
(2)
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pp. 203-227
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Keyword(s):
This article presents a novel approach for readability assessment through sorting. A comparator that judges the relative readability between two texts is generated through machine learning, and a given set of texts is sorted by this comparator. Our proposal is advantageous because it solves the problem of a lack of training data, because the construction of the comparator only requires training data annotated with two reading levels. The proposed method is compared with regression methods and a state-of-the art classification method. Moreover, we present our application, called Terrace, which retrieves texts with readability similar to that of a given input text.
Keyword(s):
2021 ◽
2020 ◽
Vol 34
(02)
◽
pp. 1660-1667
Keyword(s):
2020 ◽
Vol 222
(3)
◽
pp. 1750-1764
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2020 ◽
2021 ◽
Keyword(s):
Keyword(s):