An “AI readability” formula for French as a foreign language
(2012) 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP 2012) — Location: Jeju (12.July.2012)
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- Abstract
- 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 several techniques for feature selection and various learning algorithms. Our best model, based on support vector machines (SVM), significantly outperforms previous FFL formulas. We also found that semantic features behave poorly in our case, in contrast with some previous readability studies on English as a first language.
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François, T., & Fairon, C. (2012). An “AI readability” formula for French as a foreign language. Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing (EMNLP 2012), 466-477. https://hdl.handle.net/2078.5/53674