Coh-Metrix-Esp: A Complexity Analysis Tool for Documents Written in Spanish

Andre Quispesaravia, Walter Perez, Marco Sobrevilla Cabezudo, Fernando Alva-Manchego


Abstract
Text Complexity Analysis is an useful task in Education. For example, it can help teachers select appropriate texts for their students according to their educational level. This task requires the analysis of several text features that people do mostly manually (e.g. syntactic complexity, words variety, etc.). In this paper, we present a tool useful for Complexity Analysis, called Coh-Metrix-Esp. This is the Spanish version of Coh-Metrix and is able to calculate 45 readability indices. We analyse how these indices behave in a corpus of “simple” and “complex” documents, and also use them as features in a complexity binary classifier for texts in Spanish. After some experiments with machine learning algorithms, we got 0.9 F-measure for a corpus that contains tales for kids and adults and 0.82 F-measure for a corpus with texts written for students of Spanish as a foreign language.
Anthology ID:
L16-1745
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
4694–4698
Language:
URL:
https://aclanthology.org/L16-1745
DOI:
Bibkey:
Cite (ACL):
Andre Quispesaravia, Walter Perez, Marco Sobrevilla Cabezudo, and Fernando Alva-Manchego. 2016. Coh-Metrix-Esp: A Complexity Analysis Tool for Documents Written in Spanish. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4694–4698, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Coh-Metrix-Esp: A Complexity Analysis Tool for Documents Written in Spanish (Quispesaravia et al., LREC 2016)
Copy Citation:
PDF:
https://aclanthology.org/L16-1745.pdf
Code
 andreqi/coh-metrix-esp