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Predicting Text Readability and Reading Comprehension from Reading Interactions

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If you have a question about this talk, please contact Guy Aglionby .

Judging the readability of text has many important applications, for instance, in text simplification and when sourcing reading material for language learners. Additionally, being able to infer if a reader has understood text can be crucial when delivering critical information. In this talk I will present findings from a 600 participant study, collected in collaboration with Google, which investigates how the implicit user interactions of readers relate to (1) the complexity of a text and (2) the user’s comprehension of the text.

https://cl-cam-ac-uk.zoom.us/j/99226225081?pwd=R3NlbFY4L3ZGT1RHWjNZbjM2cGdWZz09

Meeting ID: 992 2622 5081 Passcode: 004242

This talk is part of the NLIP Seminar Series series.

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