Paper: An AI readability' Formula for French as a Foreign Language

ACL ID D12-1043
Title An AI readability' Formula for French as a Foreign Language
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012
Authors

This paper present a new readability formula for French as a foreign language (FFL), which relies on 46 textual features representative of the lexical, syntactic, and semantic levels as well as some of the specificities of the FFL context. We report comparisons between sev- eral techniques for feature selection and var- ious learning algorithms. Our best model, based on support vector machines (SVM), sig- nificantly outperforms previous FFL formulas. We also found that semantic features behave poorly in our case, in contrast with some pre- vious readability studies on English as a first language.