Erik Kanebrant

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We report on results from using the multi-variate readability model SVIT to classify texts into various levels. We investigate how the language features integrated in the SVIT model can be transformed to values on known criteria like vocabulary, grammatical fluency and propositional knowledge. Such text criteria, sensitive to content , readability and genre(More)
We report results from ongoing research on developing sophisticated measures for assessing a student's reading ability and a tool for the student and teacher to create a profile of this ability. In the project we will also investigate how these measures can be transformed to values on known criteria like vocabulary, grammatical fluency and so forth, and how(More)
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