Building a Corpus of 2L English for Automatic Assessment: the CLEC Corpus

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URI: http://hdl.handle.net/10498/17823

DOI: 10.1016/j.sbspro.2015.07.474

URL: http://www.sciencedirect.com/science/article/pii/S1877042815044754

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Autor/es
Zarco Tejada, María ÁngelesAutoridad UCA; Noya Gallardo, María Del CarmenAutoridad UCA; Merino Ferradá, María del CarmenAutoridad UCA; Calderón López, María IsabelAutoridad UCA
Fecha
2015-01-01
Departamento/s
Filología Francesa e Inglesa
Fuente
Procedia. Social and Behavioral Sciences 198 (2015) 515-525
Resumen
In this paper we describe the CLEC corpus, an ongoing project set up at the University of Cádiz with the purpose of building up a large corpus of English as a 2L classified according to CEFR proficiency levels and formed to train statistical models for automatic proficiency assessment. The goal of this corpus is twofold: on the one hand it will be used as a data resource for the development of automatic text classification systems and, on the other, it has been used as a means of teaching innovation techniques.
Materias
automatic assessment; CEFR proficiency labels; teaching innovation techniques; corpus linguistics; automatic linguistic profile
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