Automatic Treatment and Analysis of Learner Corpus Data

Editors
| University of Granada
| University of Paris Diderot
| University of Birmingham
HardboundAvailable
ISBN 9789027203663 | EUR 95.00 | USD 143.00
 
e-Book
ISBN 9789027270955 | EUR 95.00 | USD 143.00
 
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).
[Studies in Corpus Linguistics, 59]  2013.  vi, 314 pp.
Publishing status: Available
Table of Contents
“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.”
Cited by

Cited by 9 other publications

Ballier, Nicolas, Stéphane Canu, Caroline Petitjean, Gilles Gasso, Carlos Balhana, Theodora Alexopoulou & Thomas Gaillat
2020. Machine learning for learner English. International Journal of Learner Corpus Research 6:1  pp. 72 ff. Crossref logo
Haser, Verena, Anita Auer, Bert Botma, Beáta Gyuris, Kathryn Allan, Mackenzie Kerby, Lieselotte Anderwald, Alexander Kautzsch, Maja Miličević, Tihana Kraš & Marcus Callies
2015. IEnglish Language. The Year's Work in English Studies 94:1  pp. 1 ff. Crossref logo
Mendikoetxea, Amaya
2013.  In The Handbook of Spanish Second Language Acquisition,  pp. 9 ff. Crossref logo
Pan, Jun, Billy Tak-Ming Wong & Honghua Wang
2022. Navigating learner data in translator and interpreter training. Babel. Revue internationale de la traduction / International Journal of Translation 68:2  pp. 236 ff. Crossref logo
Reed, Elisabeth C., Donna Kain & Stephanie M. George
2021. The Relationship Between Perceived Confidence, Gender, and Writing in a Biomedical Engineering Research Experience for Undergraduates Site. Journal of Biomechanical Engineering 143:12 Crossref logo
Schneider, Gerold & Gaëtanelle Gilquin
2016. Detecting innovations in a parsed corpus of learner English. International Journal of Learner Corpus Research 2:2  pp. 177 ff. Crossref logo
Tracy-Ventura, Nicole, Rosamond Mitchell & Kevin McManus
2016.  In Spanish Learner Corpus Research [Studies in Corpus Linguistics, 78],  pp. 117 ff. Crossref logo
Trouvain, Jürgen, Frank Zimmerer, Bernd Möbius, Mária Gósy & Anne Bonneau
2017. Segmental, prosodic and fluency features in phonetic learner corpora. International Journal of Learner Corpus Research 3:2  pp. 105 ff. Crossref logo
Wisniewski, Katrin
2022. Gesprochene Lernerkorpora des Deutschen: Eine Bestandsaufnahme. Zeitschrift für germanistische Linguistik 50:1  pp. 1 ff. Crossref logo

This list is based on CrossRef data as of 28 july 2022. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects & Metadata
BIC Subject: CFDC – Language acquisition
BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2013035784 | Marc record