Corpus-Informed Research and Learning in ESP

Issues and applications

ORCID logoAlex Boulton | Crapel, ATILF - CNRS & Université de Lorraine
ORCID logoShirley Carter-Thomas | Institut Mines-Télécom, Télécom EM & LATTICE - CNRS
Elizabeth Rowley-Jolivet | Laboratoire Ligérien de Linguistique, Université d’Orléans - CNRS
ISBN 9789027203571 | EUR 95.00 | USD 143.00
ISBN 9789027273949 | EUR 95.00 | USD 143.00
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These specially-commissioned studies cover corpus-informed approaches to researching, teaching and learning English for Specific Purposes (ESP). The corpora used range from very large published corpora to small tailor-made collections of written and spoken text, as well as parallel and contrastive corpora, in both the hard and softer sciences. Designed to tackle the problems faced by a variety of first- and second-language ESP users (specialised translators, undergraduates, junior and experienced researchers, and language trainers), the breadth of approaches enables treatment of issues central to ESP and corpus research, from corpus compilation and analysis to new applications and data-driven learning. The first full-length book on applied corpus use in France, Corpus-Informed Research and Learning in ESP will be of interest not only to those working in the French context, but to a wide variety of language professionals – teachers, researchers or course designers – in many countries looking at ESP from different linguistic, cultural and educational perspectives.
[Studies in Corpus Linguistics, 52] 2012.  ix, 306 pp.
Publishing status: Available
Table of Contents
“This volume is an excellent illustration of how the dichotomy between the register and the genre traditions outlined by Biber and Conrad (2009) can be resolved. While most of the papers in this collection present a combined research approach that takes into account qualitative as well as quantitative methods, there is a shared motivation to include corpus-driven, attested uses of language and innovative tools that, combined with quantitative methods such as keyword analysis or applications of standard deviation, can be instrumental in the description of specialized languages and their applications in language teaching. Thus, in this volume the reader will find references to both well-established software (Antconc) or cutting-edge applications such as the suite described by POUDAT and FOLLETE, and to corpora that can shed further light into some of the domains represented in the volume, in particular Economics, Medicine, Biology and Geology. The volume is prefaced by JOHN SWALES and the tables, figures and appendixes are extremely useful and easy to use.”
Cited by

Cited by 16 other publications

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2021. Developing speaking skills at advanced level – the perspective of language department students and the implications for language teaching. In Angewandte Linguistik – Neue Herausforderungen und Konzepte,  pp. 257 ff. DOI logo
Alsehibany, Raniya Abdullah & Safaa M. Abdelhalim
2023. Overcoming academic vocabulary errors through online corpus consultation: the case of Saudi English majors. Computer Assisted Language Learning  pp. 1 ff. DOI logo
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. DOI logo
Hirata, Yoko & Yoshihiro Hirata
2018. Students’ Evaluation of SkELL: The ‘Sketch Engine for Language Learning’. In Blended Learning. Enhancing Learning Success [Lecture Notes in Computer Science, 10949],  pp. 368 ff. DOI logo
Hirata, Yoko & Yoshihiro Hirata
2019. Applying ‘Sketch Engine for Language Learning’ in the Japanese English classroom. Journal of Computing in Higher Education 31:2  pp. 233 ff. DOI logo
Johnson, Jane Helen
2017. The SocWoC corpus: compiling and exploiting ESP material for undergraduate social workers. In New developments in ESP teaching and learning research,  pp. 133 ff. DOI logo
Leńko-Szymańska, Agnieszka
2014. Is this enough? A qualitative evaluation of the effectiveness of a teacher-training course on the use of corpora in language education. ReCALL 26:2  pp. 260 ff. DOI logo
Leńko-Szymańska, Agnieszka & Alex Boulton
2015. Introduction. In Multiple Affordances of Language Corpora for Data-driven Learning [Studies in Corpus Linguistics, 69],  pp. 1 ff. DOI logo
Malá, Lucie
2021. Corpus-based teaching materials for specialised courses: the case of English for mathematicians. CASALC Review 11:1  pp. 59 ff. DOI logo
Mizumoto, Atsushi, Sawako Hamatani & Yasuhiro Imao
2017. Applying the Bundle–Move Connection Approach to the Development of an Online Writing Support Tool for Research Articles. Language Learning 67:4  pp. 885 ff. DOI logo
Noguera-Díaz, Yolanda & Pascual Pérez-Paredes
2020. Teaching acronyms to the military: A paper-based DDL approach. Research in Corpus Linguistics 8:2  pp. 1 ff. DOI logo
Ohashi, Yukiko, Noriaki Katagiri, Katsutoshi Oka & Michiko Hanada
2020. ESP corpus design: compilation of the Veterinary Nursing Medical Chart Corpus and the Veterinary Nursing Wordlist. Corpora 15:2  pp. 125 ff. DOI logo
Pérez-Paredes, Pascual & Purificación Sánchez-Hernández
2018. Uptake of corpus tools in the Spanish Higher Education context: a mixed-methods study. Research in Corpus Linguistics  pp. 51 ff. DOI logo
Strietholt, Sophia, Julie Larson‐Guenette & Gemini Fox
2024. Using music reviews in the intermediate L2 German classroom: An exploratory lesson in genre‐based writing. Die Unterrichtspraxis/Teaching German DOI logo
Tuzlukova, Victoria & Saleh S. Al-Busaidi
2015. Exploring English Academic Texts on Language Education and Pedagogy: Structural, Stylistic and Lexical Features. Theory and Practice in Language Studies 5:2  pp. 255 ff. DOI logo

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Main BIC Subject

CFDC: Language acquisition

Main BISAC Subject

LAN020000: LANGUAGE ARTS & DISCIPLINES / Study & Teaching
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U.S. Library of Congress Control Number:  2012008579 | Marc record