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Corpus Analysis for Descriptive and Pedagogical Purposes : ESP Perspectives (Linguistic Insights)

By: Davide S. Giannoni (Edited by) , Maurizio Gotti (Edited by)

Out of stock

Ksh 22,700.00

Format: Paperback or Softback

ISBN-10: 3034315163

ISBN-13: 9783034315166

Collection / Series: Linguistic Insights

Collection Type: Publisher collection

Edition statement: New

Publisher: Peter Lang AG, Internationaler Verlag der Wissenschaften

Imprint: Peter Lang AG, Internationaler Verlag der Wissensc

Country of Manufacture: CH

Country of Publication: GB

Publication Date: Mar 18th, 2014

Publication Status: Active

Product extent: 432 Pages

Weight: 622.00 grams

Dimensions (height x width x thickness): 22.50 x 15.90 x 2.40 cms

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The eighteen chapters in this volume look at the use of corpus analysis for descriptive and pedagogical purposes, focusing on contexts where English is employed by specialists in the professions and academia. They also debate some of the challenges arising from the complex relationship between linguistic theory, data-mining tools and statistical methods.
There is hardly any aspect of verbal communication that has not been investigated using the analytical tools developed by corpus linguists. This is especially true in the case of English, which commands a vast international research community, and corpora are becoming increasingly specialised, as they account for areas of language use shaped by specific sociolectal (register, genre, variety) and speaker (gender, profession, status) variables.
Corpus analysis is driven by a common interest in ‘linguistic evidence’, viewed as a source of insights into language phenomena or of lexical, semantic and contrastive data for subsequent applications. Among the latter, pedagogical settings are highly prominent, as corpora can be used to monitor classroom output, raise learner awareness and inform teaching materials.
The eighteen chapters in this volume focus on contexts where English is employed by specialists in the professions or academia and debate some of the challenges arising from the complex relationship between linguistic theory, data-mining tools and statistical methods.

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