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- aggregation classification "C1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1055826.bibtex.
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- aggregation isPartOf urn:isbn:9782951740860.
- aggregation language "eng".
- aggregation publisher "European Language Resources Association (ELRA)".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Languages and Literatures".
- aggregation title "Towards an improved methodology for automated readability prediction".
- aggregation abstract "Since the first half of the 20th century, readability formulas have been widely employed to automatically predict the readability of an unseen text. In this article, the formulas and the text characteristics they are composed of are evaluated in the context of large Dutch and English corpora. We describe the behaviour of the formulas and the text characteristics by means of correlation matrices and a principal component analysis, and test the methodological validity of the formulas by means of collinearity tests. Both the correlation matrices and the principal component analysis show that the formulas described in this paper strongly correspond, regardless of the language for which they were designed. Furthermore, the collinearity test reveals shortcomings in the methodology that was used to create some of the existing readability formulas. All of this leads us to conclude that a new readability prediction method is needed. We finally make suggestions to come to a cleaner methodology and present web applications that will help us collect data to compile a new gold standard for readability prediction.".
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- aggregation endPage "782".
- aggregation startPage "775".
- aggregation aggregates 1055827.
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