Large Scale Online Readability Assessment

Varkevisser, R.A. (2016) Large Scale Online Readability Assessment.

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Abstract:The internet is the new primary resource for information gathering. However, if you are a child, most of this information is either too difficult to read and/or understand, or impossible to find. This research focus on the readability aspect and provides a technical and theoretical foundation for the creation of a large scale child feedback readability assessment system. This research is divided into two steps. The first step measuring the scientific validity of digitizing the Cloze-test readability assessment method. The second step examining methods to automate the construction process of such a test. In the first step a user-test performed with primary school children proved the validity of a digitized version of the Cloze-test, showing significant correlations between the offline and online versions that were tested among the participants of the user-test. In the second step several automated methods were created, including TF.IDF- and NLP approaches that tried to emulate the human process of creating a Cloze-test. Performances of these methods varied and a combination of methods was shown to be most effective. Additionally, participants in a user-test gave conflicting reports when asked to identify the automated test in a mix of both automated- and human-made Cloze-tests.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:17 linguistics and theory of literature, 54 computer science
Programme:Human Media Interaction MSc (60030)
Link to this item:http://purl.utwente.nl/essays/71421
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