From Corpus to Classroom

Language Use and Language Teaching

Dados Bibliográficos

ID23399031
AutoresAnne O’Keeffe (0000-0003-3221-7258, University of Limerick), Marina Mccarthy (0000-0001-6795-3816, University of Nottingham), Michael Mccarthy (0000-0003-3484-8360), Robert M Carter (0000-0003-2235-6529, University of Nottingham), Ronald Carter
Ano2007
Data de publicação2007-05-03
Open AccessSim
TipoBOOK
PeriódicoFrom Corpus to Classroom (SOURCE_BOOK)
EditoraCambridge University Press (PUBLISHER • US)
DOI10.1017/cbo9780511497650
OpenAlexW1502139047
Open LibraryOL35767241M
ISBN9780511497650
IdiomaEN
Citações recebidas129

From Corpus to Classroom summarises and makes accessible recent work in corpus research, focusing particularly on spoken data. It is based on analysis of corpora such as CANCODE and Cambridge International Corpus, and written with particular reference to the development of corpus-informed pedagogy. The book explains how corpora can be designed and used, and focuses on what they tell us about language teaching. It examines the relevance of corpora to materials writers, course designers and language teachers and considers the needs of the learner in relation to authentic data. It shows how the answers to key questions such as 'Is there a basic, everyday vocabulary for English?', 'How should idioms be taught?' and 'What are the most common spoken language chunks?' are best explored by means of a clearer understanding of the workings of language in context.

Context (archaeology) · Corpus linguistics · Language education · Linguistics · Natural language processing · Relation (database) · Relevance (law) · Spoken language · Vocabulary · Artificial Intelligence · Computer Science · History · Linguistics, Language Diversity, and Identity · Second Language Acquisition and Learning · Second Language Learning and Teaching · 428.007 · Corpora (Linguistics) · English language · English language, textbooks for foreign speakers · Foreign speakers · Pe1128.a2 o44 2007 · Spoken English · Study and teaching · Usage