Automatic Treatment and Analysis of Learner Corpus Data

Automatic Treatment and Analysis of Learner Corpus Data

by Nicolas Ballier, Ana D?az-Negrillo, Paul Thompson, Philippe Martin
     
 

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… See more details below

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).

Editorial Reviews

Markus Dickinson
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.

Product Details

ISBN-13:
9789027203663
Publisher:
Benjamins, John Publishing Company
Publication date:
12/15/2013
Series:
Studies in Corpus Linguistics, #59
Pages:
315

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