All mixed up? Finding the optimal feature set for general readability prediction and its application to English and Dutch
Readability research has a long and rich tradition, but there has been too little focus on general readability prediction without targeting a specific audience or text genre. Moreover, though NLP-inspired research has focused on adding more complex readability features there is still no consensus on which features contribute most to the prediction. In this article, we investigate in close detail the feasibility of constructing a readability prediction system for English and Dutch generic text using supervised machine learning. Based on readability assessments by both experts and a crowd, we im... Mehr ...
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Dokumenttyp: | journalarticle |
Erscheinungsdatum: | 2016 |
Verlag/Hrsg.: |
MIT Press
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Schlagwörter: | Languages and Literatures / LANGUAGE / COHESION / TEXTS / COH-METRIX / FORMULAS / DIFFICULTY |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26675496 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://biblio.ugent.be/publication/7175390 |