Multiple Affordances of Language Corpora for Data-driven Learning

Editors
| University of Warsaw
| ATILF-CNRS / University of Lorraine
HardboundAvailable
ISBN 9789027203779 | EUR 99.00 | USD 149.00
 
e-Book
ISBN 9789027268716 | EUR 99.00 | USD 149.00
 
In recent years, corpora have found their way into language instruction, albeit often indirectly, through their role in syllabus and course design and in the production of teaching materials and other resources. An alternative and more innovative use is for teachers and students alike to explore corpus data directly as part of the learning process. This volume addresses this latter application of corpora by providing research insights firmly based in the classroom context and reporting on several state-of-the-art projects around the world where learners have direct access to corpus resources and tools and utilize them to improve their control of the language systems and skills or their professional expertise as translators. Its aim is to present recent advances in data-driven learning, addressing issues involving different types of corpora, for different learner profiles, in different ways for different purposes, and using a variety of different research methodologies and perspectives.
[Studies in Corpus Linguistics, 69]  2015.  vii, 312 pp.
Publishing status: Available
Table of Contents
Introduction: Data-driven learning in language pedagogy
Agnieszka Leńko-Szymańska and Alex Boulton
1–14
Data-driven learning and language learning theories: Whither the twain shall meet
Lynne Flowerdew
15–36
Teaching and language corpora: Perspectives from a personal journey
Christopher Tribble
37–62
Part I. Corpora for language learning
Learning phraseology from speech corpora
Guy Aston
63–84
Stealing a march on collocation: Deriving extended collocations from full text for student analysis and synthesis
James Thomas
85–108
A corpus and grammatical browsing system for remedial EFL learners
Kiyomi Chujo, Kathryn Oghigian and Shiro Akasegawa
109–128
Part II. Corpora for skills development
Same task, different corpus: The role of personal corpora in EAP classes
Maggie Charles
129–154
Textual cohesion patterns for developing reading skills: A corpus-based multilingual learning environment
Svitlana Babych
155–176
Exploiting keywords in a DDL approach to the comprehension of news texts by lower-level students
Alejandro Curado Fuentes
177–198
Part III. Corpora for translation training
Webquests in translator training: Introducing corpus-based tasks
Teresa Molés-Cases and Ulrike Oster
199–224
Enhancing translator trainees’ awareness of source text interference through use of comparable corpora
Josep Marco and Heike van Lawick
225–244
Using a multimedia corpus of subtitles in translation training: Design and applications of the Veiga corpus
Patricia Sotelo
245–266
Applying data-driven learning to the web
Alex Boulton
267–296
Notes on contributors
297–300
Publically-available corpus tools and resources discussed in the book
301–304
Subject Index
305–310
Author Index
311–316
“Overall, this volume makes a strong contribution to the growing body of research on Data-Driven Learning (DDL)...it could be said that each article, while fililng one gap in the DDL literarure, simultaneously opens another avenue of exploration in the application of DDL to a wider range of language learning contexts. In sum, this volume serves as a substantial step in identifying all the affordances DDL can have for the learners we hope to serve.”
“The volume can be considered as an essential resource for those already well-versed in DDL [Data Driven Learning]. Perhaps more importantly, however, the volume acts as an accessible guide for educational administrators, teachers and students who are thinking about incorporating a data-driven approach to teaching and learning, and who need the know-how, practical applications and most of all, encouragement to start experimenting with DDL and language corpora more generally.”
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This list is based on CrossRef data as of 24 september 2020. 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
BIC Subject: CJ – Language teaching & learning (other than ELT)
BISAC Subject: FOR000000 – FOREIGN LANGUAGE STUDY / General
U.S. Library of Congress Control Number:  2014049652 | Marc record