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Academic Writing with Corpora: A Resource Book for Data-Driven Learning

by Tatyan Karpenko-Seccombe
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Current price ₹14,450.00
Original price ₹22,230.00
Original price ₹22,230.00
Original price ₹22,230.00
(-35%)
₹14,450.00
Current price ₹14,450.00

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Book cover type: Hardcover
  • ISBN13: 9781032731896
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Taylor & Francis
  • Publisher Imprint: Routledge
  • Publication Date:
  • Pages: 226
  • Original Price: GBP 171.99
  • Language: English
  • Edition: N/A
  • Item Weight: 499 grams
  • BISAC Subject(s): Writing / Academic & Scholarly and Linguistics / General

Academic Writing with Corpora offers an accessible guide to using corpora in academic writing successfully and productively. Addressing the challenges faced by teachers of English for academic purposes when explaining to their students how to write 'naturally', this book places an emphasis on learning from expert and proficient writing.

Revised and updated throughout, this book:

- takes a highly practical approach, now with new tasks and the latest software features;

- fosters autonomous learning by demonstrating how to solve everyday difficulties in word choice and grammar;

- places a special emphasis on the use of corpora to explore rhetorical strategies;

- introduces the reader to five corpus tools (SkELL, Lextutor, COCA, MICUSP and AntConc);

- offers a new section on DIY corpora, including basic principles and a step-by-step guide to building a corpus, with an introduction to AntConc;

- now includes a 'Further reading' section for each chapter.

This resource book is for teachers looking to introduce data-driven learning into the classroom without spending excessive time on researching corpora and preparing tasks. It is also for second-language academic writers - university students and researchers - who are motivated to improve their writing and to learn from proficient and expert writing in their area.

Tatyana Karpenko-Seccombe is an independent scholar who for many years taught English for academic purposes at the University of Huddersfield, UK, using corpus methods.

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