Towards a Data Analytics Pipeline for the Visualisation of Complexity Metrics in L2 writings

Thomas Gaillat, Anas Knefati, Antoine Lafontaine

Abstract
We present the design of a tool for the visualisation of linguistic complexity in second language (L2) learner writings. We show how metrics can be exploited to visualise complexity in L2 writings in relation to CEFR levels.
Anthology ID:
2021.bea-1.13
Volume:
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
Month:
April
Year:
2021
Address:
Online
Editors:
Jill Burstein, Andrea Horbach, Ekaterina Kochmar, Ronja Laarmann-Quante, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
123–129
Language:
URL:
https://aclanthology.org/2021.bea-1.13
DOI:
Bibkey:
Cite (ACL):
Thomas Gaillat, Anas Knefati, and Antoine Lafontaine. 2021. Towards a Data Analytics Pipeline for the Visualisation of Complexity Metrics in L2 writings. In Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, pages 123–129, Online. Association for Computational Linguistics.
Cite (Informal):
Towards a Data Analytics Pipeline for the Visualisation of Complexity Metrics in L2 writings (Gaillat et al., BEA 2021)
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