Summary of the paper
| Title | Towards an Improved Methodology for Automated Readability Prediction |
|---|---|
| Authors | Philip van Oosten, Dries Tanghe and Véronique Hoste |
| 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. |
| Topics | Evaluation methodologies, Tools, systems, applications, Other |
Full paper |
Towards an Improved Methodology for Automated Readability Prediction |
Slides |
Towards an Improved Methodology for Automated Readability Prediction |
| Bibtex | @InProceedings{VANOOSTEN10.286, author = {Philip van Oosten and Dries Tanghe and Véronique Hoste}, title = {Towards an Improved Methodology for Automated Readability Prediction}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |