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Machine Learning in Readability Assessment

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Readability of a text is concerned with a number of factors that affect reader’s understanding, reading speed and level of interest. Such factors include, among others, lexical and syntactic complexity, level of conceptual familiarity and logical sophistication. In this talk, I will discuss how we can automatically extract the information about such factors from text, and how we approach the task of readability assessment from a machine learning perspective. I will also briefly present a prototype system that is capable of assessing readability level of text and readers’ comprehension. Our project focuses on readability assessment for non-native speakers of English, but as I will discuss in the talk, the presented methods of assessment can be extended to other groups of readers.

This talk is part of the Cambridge Psychometrics Centre Seminars series.

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