Del i serien Cambridge Handbooks in Language and Linguistics

The Cambridge Handbook of Learner Corpus Research

Inbunden, Engelska, 2015

AvSylviane Granger,Gaëtanelle Gilquin,Fanny Meunier

2 649 kr

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The origins of learner corpus research go back to the late 1980s when large electronic collections of written or spoken data started to be collected from foreign/second language learners, with a view to advancing our understanding of the mechanisms of second language acquisition and developing tailor-made pedagogical tools. Engaging with the interdisciplinary nature of this fast-growing field, The Cambridge Handbook of Learner Corpus Research explores the diverse and extensive applications of learner corpora, with 27 chapters written by internationally renowned experts. This comprehensive work is a vital resource for students, teachers and researchers, offering fresh perspectives and a unique overview of the field. With representative studies in each chapter which provide an essential guide on how to conduct learner corpus research in a wide range of areas, this work is a cutting-edge account of learner corpus collection, annotation, methodology, theory, analysis and applications.

Produktinformation

Utgivningsdatum2015-10-01
Mått185 x 253 x 35 mm
Vikt1 610 g
FormatInbunden
SpråkEngelska
SerieCambridge Handbooks in Language and Linguistics
Antal sidor761
FörlagCambridge University Press
ISBN9781107041196

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Språkvetenskap och lingvistik inom Språk och ordböcker

Sylviane Granger is Professor of English Language and Linguistics at the Université Catholique de Louvain and Director for the Centre for English Corpus Linguistics. Gaëtanelle Gilquin is a Research Associate with the Belgian National Fund for Scientific Research at the Université Catholique de Louvain. Fanny Meunier is a Professor of English Language, Linguistics and Didactics at the Université Catholique de Louvain.

1. Introduction: learner corpus research – past, present and future Sylviane Granger, Gaëtanelle Gilquin and Fanny Meunier; Part I. Learner Corpus Design and Methodology: 2. From design to collection of learner corpora Gaëtanelle Gilquin; 3. Learner corpus methodology Marcus Callies; 4. Learner corpora and psycholinguistics Philip Durrant and Anna Siyanova-Chanturia; 5. Annotating learner corpora Bertus van Rooy; 6. Speech annotation of learner corpora Nicolas Ballier and Philippe Martin; 7. Error annotation systems Anke Lüdeling and Hagen Hirschmann; 8. Statistics for learner corpus research Stefan Th. Gries; Part II. Analysis of Learner Language: 9. Learner corpora and lexis Tom Cobb and Marlise Horst; 10. Learner corpora and phraseology Signe Oksefjell Ebeling and Hilde Hasselgård; 11. Learner corpora and grammar Tom Rankin; 12. Learner corpora and discourse JoAnne Neff-van Aertselaer; 13. Learner corpora and pragmatics Nina Vyatkina and Joseph Cunningham; Part III. Learner Corpus Research and Second Language Acquisition: 14. Second language acquisition theory and learner corpus research Florence Myles; 15. Transfer and learner corpus research John Osborne; 16. Learner corpora and formulaic language in second language acquisition research Nick C. Ellis, Rita Simpson-Vlach, Ute Römer, Matthew Brook O'Donnell and Stefanie Wulff; 17. Developmental patterns in learner corpora Fanny Meunier; 18. Variability in learner corpora Annelie Ädel; 19. Learner corpora and learning context Joybrato Mukherjee and Sandra Götz; Part IV. Learner Corpus Research and Language Teaching: 20. The learner corpus as a pedagogic corpus Angela Chambers; 21. Learner corpora and language for academic and specific purposes Lynne Flowerdew; 22. The contribution of learner corpora to reference and instructional materials design Sylviane Granger; 23. Learner corpora and language testing Fiona Barker, Angeliki Salamoura and Nick Saville; Part V. Learner Corpus Research and Natural Language Processing: 24. Learner corpora and natural language processing Detmar Meurers; 25. Automatic grammar- and spell-checking for language learners Claudia Leacock, Martin Chodorow and Joel Tetreault; 26. Learner corpora and automated scoring Derrick Higgins, Chaitanya Ramineni and Klaus Zechner; 27. Learner corpora and native language identification Scott Jarvis and Magali Paquot.