RASAL Lingüística

Issue 2021 - Vol. 2
Artículos

Prediction of plural agreement errors in four italian learners of spanish FL

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  • Pablo E. Marafioti
Pablo E. Marafioti
Facultad de Lenguas - Universidad Nacional de Córdoba
Portada del número 2021 vol. 2

Published 2021-09-20

Keywords

  • Spanish foreign language,
  • corpus for Spanish,
  • agreement,
  • number,
  • data mining

How to Cite

Marafioti, P. E. (2021). Prediction of plural agreement errors in four italian learners of spanish FL. RASAL Lingüística, (2), 91–119. Retrieved from https://rasal.sael.org.ar/index.php/inicio/article/view/95

Copyright (c) 2021 Pablo E. Marafioti

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Abstract

Using data mining techniques we predict the presence of plural agreement error in four Italian learners of Spanish as a foreign language. Predictors were created from complex networks, from attributes characterizing the agreement instances and from attributes which involved a temporal component. A set of strategies was employed to deal with class imbalance and attribute selection. After that, a clustering with mixed distributions was applied. The attribute selection was made using a mixed model with regularization. A generalized linear mixed model was adjusted to each cluster. The maximum balanced accuracy obtained was 80 %. The attributes derived from graphs were selected in all students. The cluster with more error intensity revealed that the error chance increased with animate controllers, instances of agreement including an adjective or determinant and the presence of possessives. A strategy oriented to avoid plurals in -es diminished the chance of error.

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