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Multiple affordances of language corpora for data-driven learning /

Data-driven learning typically involves the use of dedicated concordancers to explore linguistic corpora, which may require significant training if the technology is not to be an obstacle for teacher and learner alike. One possibility is to begin not with corpus or concordancer, but to find parallel...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Leńko-Szymańska, Agnieszka (Editor ), Boulton, Alex (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, The Netherlands ; Philadelphia, PA : John Benjamins Publishing Company, [2015]
Colección:Studies in corpus linguistics ; v. 69.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Data-driven learning typically involves the use of dedicated concordancers to explore linguistic corpora, which may require significant training if the technology is not to be an obstacle for teacher and learner alike. One possibility is to begin not with corpus or concordancer, but to find parallels with what 'ordinary' users already do. This paper compares the web to a corpus, regular search engines to concordancers, and the techniques used in web searches to data-driven learning. It also examines previous studies which exploit web searches in ways not incompatible with a DDL approach.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9789027268716
9027268711
ISSN:1388-0373 ;