Are Cohesive Features Relevant for Text Readability Evaluation?

Abstract : This paper investigates the effectiveness of 65 cohesion-based variables that are commonly used in the literature as predictive features to assess text readability. We evaluate the efficiency of these variables across narrative and informative texts intended for an audience of L2 French learners. In our experiments, we use a French corpus that has been both manually and automatically annotated as regards to co-reference and anaphoric chains. The efficiency of the 65 variables for readability is analyzed through a correlational analysis and some modelling experiments.
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Amalia Todirascu, Thomas François, Delphine Bernhard, Núria Gala, Anne-Laure Ligozat. Are Cohesive Features Relevant for Text Readability Evaluation?. 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp.987 - 997. ⟨hal-01430554⟩



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