Non-Fiction Books:

Corpus Analysis for Descriptive and Pedagogical Purposes

ESP Perspectives
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Description

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.

Author Biography:

Maurizio Gotti is Professor of English Language and Translation, Head of the Department of Foreign Languages, Literatures and Communication, and Director of the Research Centre for LSP Research (CERLIS) at the University of Bergamo. His main research areas are the features and origins of specialized discourse. Davide S. Giannoni, PhD, is Associate Professor of English Language and Linguistics at the University of Bergamo. His research on academic and professional genres has appeared in several international journals. With Peter Lang he has published Mapping Academic Values in the Disciplines: A Corpus-Based Approach (2010).
Release date Australia
March 18th, 2014
Audience
  • Professional & Vocational
Contributors
  • Edited by Davide S Giannoni
  • Edited by Maurizio Gotti
Edition
New edition
Pages
432
ISBN-13
9783034315166
Product ID
22234382

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