Error Analysis in the CAELE Corpus: study on the grammatical agreement in the verb SER in Francophone and Anglo-Saxon learners

Authors

DOI:

https://doi.org/10.26378/rnlael1429423

Keywords:

Computer-Aided Error Analysis, Computer Learner Corpora, grammatical agreement, grammatical precision, Spanish as Foreign Language

Abstract

This article presents a study on Computer Aided Error Analysis. To do this, the identification of errors and the tendency of misuse in Spanish at the A2 level of competence is considered in two subcorpus of the CAELE corpus, a subcorpus of 798 textual sentences of Anglo-Saxon learners of Spanish Language and another subcorpus of 625 textual sentences of French learners. The main objectives are to determine the frequencies of grammatical concordance errors with the verb ser and to compare the similarities and differences observed between Francophone and Anglo-Saxon learners. The results of the research have shown that for Anglo-Saxon learners there are greater difficulties in the selection of the grammatical categories of gender and number in the adjectives, especially in the agreement of the attributes. On the other hand, for French learners, although they present a number of errors in these grammatical aspects, their frequency is notoriously lower.The errors could be attributed to the direct transfer of grammatical rules from L1, affecting the grammatical precision of sentences with the verb ser. These findings contribute to give more solidity to the trends in the specialized literature.

Author Biographies

Anita Ferreira Cabrera, Universidad de Concepción

Anita Ferreira Cabrera has a PhD in Artificial Intelligence from the University of Edinburgh, Scotland and a PhD in Linguistics from the Catholic University of Valparaíso, Chile. She is currently a Professor at the University of Concepción- Chile, where she has been in charge of the Spanish as a Foreign Language Program (ele-udec.cl), she also directs the Journal of Theoretical and Applied Linguistics, RLA and the Laboratory of Technological Applications in Applied Linguistics (LATLA). His main research is in the multidisciplinary areas of the acquisition and teaching of ELE, technology-assisted language teaching (CALL), particularly in the field of Intelligent Tutorial Systems for Foreign Languages ​​(ICALL or ITS for FL). In these contexts, he has developed FONDECYT-CONICYT research projects, the most recent being entitled “Project Fondecyt 1180974“ Design and implementation of a written corpus of Spanish as a Foreign Language (ELE) learners for interlanguage analysis ”, 2018- 2021. ”

 

Lorena Blanco San Martín, Universidad Católica de la Santísima Concepción

Lorena Blanco San Martín, es profesora de la Universidad Católica de la Santísima Concepción, Doctora en Lingüística y Magíster en Lingüística Aplicada de la Universidad de Concepción, Chile. En su trayectoria académica ha desarrollado docencia en español como lengua materna y en Español como Lengua Extranjera en el contexto del Programa ELE-UdeC.

Jessica Elejalde Gómez, Universidad de Concepción

Jessica Elejalde Doctora en Lingüística y magíster en Lingüística Aplicada de la Universidad de Concepción, Chile y profesora de humanidades y lengua castellana de la Universidad de San Buenaventura, Colombia. En su trayectoria académica ha desarrollado docencia en Español como Lengua Extranjera en el contexto del Programa ELE-UdeC y actualmente, es Asesora Editorial de la Revsita RLA y co-investigadora en el proyecto Fondecyt No. 1180974.

Published

2020-12-15

How to Cite

Ferreira Cabrera, A., Blanco San Martín, L., & Elejalde Gómez, J. (2020). Error Analysis in the CAELE Corpus: study on the grammatical agreement in the verb SER in Francophone and Anglo-Saxon learners. Nebrija Journal of Applied Linguistics to Language Teaching, 14(29), 76–99. https://doi.org/10.26378/rnlael1429423

Issue

Section

Thematic section "Computer Learners Corpora..."