A Taste for Corpora

In honour of Sylviane Granger

| Université catholique de Louvain
| Université catholique de Louvain
| Université catholique de Louvain
| Université catholique de Louvain
ISBN 9789027203502 | EUR 95.00 | USD 143.00
ISBN 9789027287083 | EUR 95.00 | USD 143.00
The eleven contributions to this volume, written by expert corpus linguists, tackle corpora from a wide range of perspectives and aim to shed light on the numerous linguistic and pedagogical uses to which corpora can be put. They present cutting-edge research in the authors’ respective domain of expertise and suggest directions for future research. The main focus of the book is on learner corpora, but it also includes reflections on the role of other types of corpora, such as native corpora, expert users corpora, parallel corpora or corpora of New Englishes. For readers who are already familiar with corpora, this volume offers an informed account of the key role that corpus data play in applied linguistics today. As for readers who are new to corpus linguistics, the overview of approaches, methods and domains of applications presented will undoubtedly help them develop their own taste for corpora. This volume has been edited in honour of Sylviane Granger, who has been one of the pioneers of learner corpus research.
[Studies in Corpus Linguistics, 45]  2011.  xv, 295 pp.
Publishing status: Available
Table of Contents
List of contributors
Bengt Altenberg
Putting corpora to good uses: A guided tour
Sylvie De Cock, Gaëtanelle Gilquin, Fanny Meunier and Magali Paquot
Frequency, corpora and language learning
Geoffrey N. Leech
Learner corpora and contrastive interlanguage analysis
Hilde Hasselgård and Stig Johansson
The use of small corpora for tracing the development of academic literacies
JoAnne Neff and Caroline Bunce
Revisiting apprentice texts: Using lexical bundles to investigate expert and apprentice performances in academic writing
Christopher Tribble
Automatic error tagging of spelling mistakes in learner corpora
Paul Rayson and Alistair Baron
Data mining with learner corpora: Choosing classifiers for L1 detection
Scott Jarvis
Learners and users – Who do we want corpus data from?
Anna Mauranen
Learner knowledge of phrasal verbs: A corpus-informed study
Norbert Schmitt and Stephen Redwood
Corpora and the new Englishes: Using the ‘Corpus of Cyber-Jamaican’ to explore research perspectives for the future
Christian Mair
Towards a new generation of corpus-derived lexical resources for language learning
David Wible and Nai-Lung Tsao
Automating the creation of dictionaries: Where will it all end?
Michael Rundell and Adam Kilgarriff †
addendumSelect list of publications by Sylviane Granger
Subject index
Name index
“‘A Taste for Corpora’ offers a diverse and rich collections of essays, all of a high quality, covering a wide spectrum of topics related to the applications of corpora in language learning [...] a fitting as well as wonderful collection of essays to honour the achievements of Sylviane Granger.”
Cited by

Cited by 4 other publications

Edwards, Alison & Rutger-Jan Lange
2016.  In case of innovation. International Journal of Learner Corpus Research 2:2  pp. 252 ff. Crossref logo
Flowerdew, Lynne
2015. Corpus-based research and pedagogy in EAP: From lexis to genre. Language Teaching 48:1  pp. 99 ff. Crossref logo
2013. Tracking Learners' Progress: Adopting a Dual ‘Corpus cum Experimental Data’ Approach. The Modern Language Journal 97:S1  pp. 61 ff. Crossref logo
Parodi, Giovanni
2015. Corpus de aprendices de español (CAES). Journal of Spanish Language Teaching 2:2  pp. 194 ff. Crossref logo

This list is based on CrossRef data as of 17 january 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: CFX – Computational linguistics
BISAC Subject: LAN009000 – LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2011008291 | Marc record