CEDEL2: Design, compilation and web interface of an online corpus for L2 Spanish acquisition research
Metadatos
Mostrar el registro completo del ítemEditorial
Sage Publications
Materia
L2 acquisition research L2 corpora L2 Spanish corpus Learner corpora
Fecha
2021-10-16Referencia bibliográfica
Lozano C. CEDEL2: Design, compilation and web interface of an online corpus for L2 Spanish acquisition research. Second Language Research. October 2021. [doi:10.1177/02676583211050522]
Patrocinador
FFI2016- 75106-P (Ministerio de Economía y Competitividad); FFI2012-30755 (Ministerio de Economía y Competitividad); FFI2008-01584/FILO (Ministerio de Ciencia e Innovación); HUM2005-01728/ FILO (Ministerio de Educación y Ciencia)Resumen
This article presents and reviews a new methodological resource for research in second language
acquisition (SLA), CEDEL2 (Corpus Escrito del Español L2 ‘L2 Spanish Written Corpus’), and its
free online search-engine interface (cedel2.learnercorpora.com). CEDEL2 is a multi-first-language
corpus (Spanish, English, German, Dutch, Portuguese, Italian, French, Greek, Russian, Japanese,
Chinese, and Arabic) of L2 Spanish learners at all proficiency levels. It additionally contains
several native control subcorpora (English, Portuguese, Greek, Japanese, and Arabic). Its latest
release (version 2) holds material from around 4,400 speakers, which amounts to over 1,100,000
words. CEDEL2 follows strict corpus-design criteria (Sinclair, 2005) and L2 corpus-design
recommendations (Tracy-Ventura and Paquot, 2021), and all subcorpora are equally designed to
be fully contrastable, as recommended by Contrastive Interlanguage Analysis (Granger, 2015).
Thanks to its design and web interface, CEDEL2 allows for complex searches which can be further
narrowed down according to its SLA-motivated variables, e.g. first language (L1), proficiency
level, self-reported proficiency level, age of onset to the L2, length of exposure to the L2, length
of residence in a Spanish-speaking country, knowledge of other foreign languages, type of task,
etc. These CEDEL2 features allow L2 researchers to address SLA questions and hypotheses.