Overview

This book is a critical appraisal of recent developments in corpus linguistics for the analysis of written and spoken learner data. The twelve papers cover an introductory critical appraisal of learner corpus data compilation and development (section 1); issues in data compilation, annotation and exchangeability (section 2); automatic approaches to data identification and analysis (section 3); and analysis of learner corpus data in the light of recent models of data analysis and interpretation, especially recent automatic approaches for the identification of learner language features (section 4). This collection is aimed at students and researchers of corpus linguistics, second language acquisition studies and quantitative linguistics. It will significantly advance learner corpus research in terms of methodological innovation and will fill in an important gap in the development of multidisciplinary approaches (for learner corpus studies).

Full Product Details

Author:   Ana Díaz-Negrillo (University of Granada) ,  Nicolas Ballier (University of Paris Diderot) ,  Paul Thompson (University of Birmingham)
Publisher:   John Benjamins Publishing Co
Imprint:   John Benjamins Publishing Co
Volume:   59
Weight:   0.725kg
ISBN:  

9789027203663

ISBN 10:   9027203660
Pages:   314
Publication Date:   18 December 2013
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock  
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Table of Contents

1. Section 1. Introduction; 2. Introduction (by Ballier, Nicolas); 3. Learner corpora: Looking towards the future (by Diaz-Negrillo, Ana); 4. Section 2. Compilation, annotation and exchangeability of learner corpus data; 5. Developing corpus interoperability for phonetic investigation of learner corpora (by Ballier, Nicolas); 6. Learner corpora and second language acquisition: The design and collection of CEDEL2 (by Lozano, Cristobal); 7. Competing target hypotheses in the Falko corpus: A flexible multi-layer corpus architecture (by Reznicek, Marc); 8. Section 3. Automatic approaches to the identification of learner language features in learner corpus data; 9. Using learner corpora for automatic error detection and correction (by Gamon, Michael); 10. Automatic suprasegmental parameter extraction in learner corpora (by Ferragne, Emmanuel); 11. Criterial feature extraction using parallel learner corpora and machine learning (by Tono, Yukio); 12. Section 4. Analysis of learner corpus data; 13. Phonological acquisition in the French-English interlanguage: Rising above the phoneme (by Meli, Adrien); 14. Prosody in a contrastive learner corpus (by Tortel, Anne); 15. A corpus-based comparison of syntactic complexity in NNS and NS university students' writing (by Ai, Haiyang); 16. Analysing coherence in upper-intermediate learner writing (by Schiftner, Barbara); 17. Statistical tests for the analysis of learner corpus data (by Gries, Stefan Th.); 18. Index

Reviews

This book is an excellent volume that pushes forward the scope of learner corpus processing and analysis, by bridging learner corpus design with its automatic analysis. I know of no other work which contains such breadth, covering for example both spoken and written data, while containing enough depth for even the experienced researcher. I expect to refer to this book for years. -- Markus Dickinson, Indiana University

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