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  • The Cambridge Handbook of Learner Corpus Research
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      • Publisher's listprice GBP 139.00
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    Product details:

    • Publisher Cambridge University Press
    • Date of Publication 1 October 2015

    • ISBN 9781107041196
    • Binding Hardback
    • No. of pages761 pages
    • Size 253x185x35 mm
    • Weight 1610 g
    • Language English
    • Illustrations 16 b/w illus. 24 tables
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    Short description:

    An accessible and comprehensive survey of a fast-growing field, this Handbook explores the many interdisciplinary applications of learner corpus research.

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    Long description:

    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.

    'A fantastic book - very comprehensive, with all the advantages of a common layout for each chapter, but also benefiting from the unique and individual insights of experts in the subject.' Susan Hunston, University of Birmingham

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    Table of Contents:

    1. Introduction: learner corpus research - past, present and future Sylviane Granger, Ga&&&235;tanelle Gilquin and Fanny Meunier; Part I. Learner Corpus Design and Methodology: 2. From design to collection of learner corpora Ga&&&235;tanelle 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 L&&&252;deling 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 Hasselg&&&229;rd; 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 R&&&246;mer, Matthew Brook O'Donnell and Stefanie Wulff; 17. Developmental patterns in learner corpora Fanny Meunier; 18. Variability in learner corpora Annelie &&&196;del; 19. Learner corpora and learning context Joybrato Mukherjee and Sandra G&&&246;tz; 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.

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