Multiple Affordances of Language Corpora for Data-driven Learning
Editors
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:
© John Benjamins
Table of Contents
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Introduction: Data-driven learning in language pedagogyAgnieszka Leńko-Szymańska and Alex Boulton | pp. 1–14
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Data-driven learning and language learning theories: Whither the twain shall meetLynne Flowerdew | pp. 15–36
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Teaching and language corpora: Perspectives from a personal journeyChristopher Tribble | pp. 37–62
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Part I. Corpora for language learning
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Learning phraseology from speech corporaGuy Aston | pp. 63–84
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Stealing a march on collocation: Deriving extended collocations from full text for student analysis and synthesisJames Thomas | pp. 85–108
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A corpus and grammatical browsing system for remedial EFL learnersKiyomi Chujo, Kathryn Oghigian and Shiro Akasegawa | pp. 109–128
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Part II. Corpora for skills development
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Same task, different corpus: The role of personal corpora in EAP classesMaggie Charles | pp. 129–154
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Textual cohesion patterns for developing reading skills: A corpus-based multilingual learning environmentSvitlana Babych | pp. 155–176
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Exploiting keywords in a DDL approach to the comprehension of news texts by lower-level studentsAlejandro Curado Fuentes | pp. 177–198
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Part III. Corpora for translation training
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Webquests in translator training: Introducing corpus-based tasksTeresa Molés-Cases and Ulrike Oster | pp. 199–224
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Enhancing translator trainees’ awareness of source text interference through use of comparable corporaJosep Marco and Heike van Lawick | pp. 225–244
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Using a multimedia corpus of subtitles in translation training: Design and applications of the Veiga corpusPatricia Sotelo | pp. 245–266
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Applying data-driven learning to the webAlex Boulton | pp. 267–296
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Notes on contributors | pp. 297–300
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Publically-available corpus tools and resources discussed in the book | pp. 301–304
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Subject Index | pp. 305–310
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Author Index | pp. 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.”
James Garner, Georgia State University, in International Journal of Corpus Linguistics 20(4): 560-569
“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.”
Peter R Crosthwaite, University of Hong Kong, on Linguist List 27.1078 (March 2016)
Cited by (17)
Cited by 17 other publications
Li, Lexi Xiaoduo
2023. Promoting accuracy of collocation use in L2 writing: the role of data-driven learning in indirect corrective feedback. Computer Assisted Language Learning ► pp. 1 ff. 
Ma, Qing, Ming Ming Chiu, Shanru Lin & Norman B. Mendoza
2023. Teachers’ perceived corpus literacy and their intention to integrate corpora into classroom teaching: A survey study. ReCALL 35:1 ► pp. 19 ff.
Zare, Javad, Sedigheh Karimpour & Khadijeh Aqajani Delavar
2023. Classroom concordancing and English academic lecture comprehension: an implication of data-driven learning. Computer Assisted Language Learning 36:5-6 ► pp. 885 ff.
Bal-Gezegin, Betül, Erdem Akbaş & Ahmet Başal
2022. “Corpus Made My Job Easier”: Preservice Language Teachers’ Corrective Feedback Practices in Writing with Corpus Consultation. In New Directions in Technology for Writing Instruction [English Language Education, 30], ► pp. 279 ff.
Soto-Almela, Jorge & Gema Alcaraz-Mármol
2021. Teaching ESP Through Data-Driven Learning: An Exploratory Study in Health Sciences Degrees. In Mediating Specialized Knowledge and L2 Abilities, ► pp. 209 ff.
Callies, Marcus & Tugba Simsek
2020. Friginal, E. (2018). Corpus Linguistics for English Teachers: New Tools, Online Resources, and Classroom Activities
. International Journal of Corpus Linguistics 25:2 ► pp. 231 ff.
Liou, Hsien-Chin & Tzu-Wei Yang
2020. Data-Driven Learning at the English Drafting Stage. In New Technological Applications for Foreign and Second Language Learning and Teaching [Advances in Educational Technologies and Instructional Design, ], ► pp. 282 ff.
Crosthwaite, Peter, Lillian L.C. Wong & Joyce Cheung
2019. Characterising postgraduate students’ corpus query and usage patterns for disciplinary data-driven learning. ReCALL 31:3 ► pp. 255 ff.
Wu, Shaoqun, Alannah Fitzgerald, Alex Yu & Ian Witten
2019. Developing and Evaluating a Learner-Friendly Collocation System With User Query Data. International Journal of Computer-Assisted Language Learning and Teaching 9:2 ► pp. 53 ff.
Tyler, Andrea E. & Lourdes Ortega
2018. Chapter 1. Usage-inspired L2 instruction. In Usage-inspired L2 Instruction [Language Learning & Language Teaching, 49], ► pp. 3 ff.
Wu, Shaoqun, Alannah Fitzgerald, Ian H. Witten & Alex Yu
2018. Automatically Augmenting Academic Text for Language Learning. In Handbook of Research on Integrating Technology Into Contemporary Language Learning and Teaching [Advances in Educational Technologies and Instructional Design, ], ► pp. 512 ff.
Wu, Shaoqun, Liang Li, Ian Witten & Alex Yu
2018. A Systematic Review of Using Discipline-Specific Corpora for Lexico-Grammatical Pattern Learning. International Journal of Computer-Assisted Language Learning and Teaching 8:1 ► pp. 31 ff.
Yunus, Kamariah
2017. Corpus Linguistics: Pedagogic Application in the 21st Century. International Journal of Academic Research in Progressive Education and Development 6:3
Wu, Shaoqun, Liang Li, Ian H. Witten & Alex Yu
2016. Constructing a Collocation Learning System from the Wikipedia Corpus. International Journal of Computer-Assisted Language Learning and Teaching 6:3 ► pp. 18 ff.
Wu, Shaoqun, Liang Li, Ian H. Witten & Alex Yu
2019. Constructing a Collocation Learning System From the Wikipedia Corpus. In Computer-Assisted Language Learning, ► pp. 1018 ff.
Boulton, Alex & Pascual Pérez-Paredes
2014. ReCALL special issue: Researching uses of corpora for language teaching and learning Editorial Researching uses of corpora for language teaching and learning. ReCALL 26:2 ► pp. 121 ff.
[no author supplied]
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Subjects
Main BIC Subject
CJ: Language teaching & learning (other than ELT)
Main BISAC Subject
FOR000000: FOREIGN LANGUAGE STUDY / General