Are Cohesive Features Relevant for Text Readability Evaluation?
Amalia Todirascu, Thomas François, Delphine Bernhard, Núria Gala, Anne-Laure Ligozat
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.- Anthology ID:
- C16-1094
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Yuji Matsumoto, Rashmi Prasad
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 987–997
- Language:
- URL:
- https://aclanthology.org/C16-1094
- DOI:
- Cite (ACL):
- Amalia Todirascu, Thomas François, Delphine Bernhard, Núria Gala, and Anne-Laure Ligozat. 2016. Are Cohesive Features Relevant for Text Readability Evaluation?. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 987–997, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Are Cohesive Features Relevant for Text Readability Evaluation? (Todirascu et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/landing_page/C16-1094.pdf