NDLI: Reflecting Comprehension through French Textual Complexity Factors

Content Provider	IEEE Xplore Digital Library
Author	Dascalu, M. Stavarache, L.L. Trausan-Matu, S. Dessus, P. Bianco, M.
Copyright Year	2014
Description	Author affiliation: Comput. Sci. Dept., Univ. Politeh. of Bucharest, Bucharest, Romania (Dascalu, M.; Stavarache, L.L.; Trausan-Matu, S.) \|\| Lab. of Educ. Sci., Univ. Grenoble Alpes, Grenoble, France (Dessus, P.; Bianco, M.)
Abstract	Research efforts in terms of automatic textual complexity analysis are mainly focused on English vocabulary and few adaptations exist for other languages. Starting from a solid base in terms of discourse analysis and existing textual complexity assessment model for English, we introduce a French model trained on 200 documents extracted from school manuals pre-classified into five complexity classes. The underlying textual complexity metrics include surface, syntactic, morphological, semantic and discourse specific factors that are afterwards combined through the use of Support Vector Machines. In the end, each factor is correlated to pupil comprehension metrics scores, spanning throughout multiple classes, therefore creating a clearer perspective in terms of measurements impacting the perceived difficulty of a given text. In addition to purely quantitative surface factors, specific parts of speech and cohesion have proven to be reliable predictors of learners' comprehension level, creating nevertheless a strong background for building dependable French textual complexity models.
Starting Page	615
Ending Page	619
File Size	704269
Page Count	5
File Format	PDF
ISBN	9781479965724
ISSN	10823409
DOI	10.1109/ICTAI.2014.97
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-10
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Complexity theory Materials Educational institutions Semantics Support vector machines Correlation Surface morphology Textual cohesion French textual complexity assessment Readability Support Vector Machines
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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