Visualizing Facets of Text Complexity across Registers

Marina Santini, Arne Jonsson, Evelina Rennes


Abstract
In this paper, we propose visualizing results of a corpus-based study on text complexity using radar charts. We argue that the added value of this type of visualisation is the polygonal shape that provides an intuitive grasp of text complexity similarities across the registers of a corpus. The results that we visualize come from a study where we explored whether it is possible to automatically single out different facets of text complexity across the registers of a Swedish corpus. To this end, we used factor analysis as applied in Biber’s Multi-Dimensional Analysis framework. The visualization of text complexity facets with radar charts indicates that there is correspondence between linguistic similarity and similarity of shape across registers.
Anthology ID:
2020.readi-1.8
Volume:
Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
LREC | READI | WS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
49–56
Language:
English
URL:
https://www.aclweb.org/anthology/2020.readi-1.8
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.readi-1.8.pdf