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

dc.contributor.authorZarco Tejada, María Ángeles 
dc.contributor.authorNoya Gallardo, María Del Carmen 
dc.contributor.authorMerino Ferradá, María del Carmen 
dc.contributor.authorCalderón López, María Isabel 
dc.contributor.otherFilología Francesa e Inglesaen_US
dc.date.accessioned2015-10-27T07:57:41Z
dc.date.available2015-10-27T07:57:41Z
dc.date.issued2015-01-01T00:00:00Z
dc.identifier.urihttp://hdl.handle.net/10498/17823
dc.description.abstractIn 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.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceProcedia. Social and Behavioral Sciences 198 (2015) 515-525en_US
dc.subjectautomatic assessmenten_US
dc.subjectCEFR proficiency labelsen_US
dc.subjectteaching innovation techniquesen_US
dc.subjectcorpus linguisticsen_US
dc.subjectautomatic linguistic profileen_US
dc.titleBuilding a Corpus of 2L English for Automatic Assessment: the CLEC Corpusen_US
dc.typejournal articleen_US
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S1877042815044754
dc.rights.accessRightsopen accessen_US
dc.identifier.doi10.1016/j.sbspro.2015.07.474


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