Description: A theoretical and practical guide to using corpus linguistic techniques in stylistic analysis The use of corpora in stylistics has increased substantially in recent years but until now there has been no book detailing the theoretical basis and methodological practices of corpus stylistics. This book surveys the field and sets the agenda for this fast-developing area. Focusing on how to use off-the-shelf corpus software, such as AntConc, Wmatrix, and the Brigham Young University (BYU) corpus interface, this step-by-step guide explains the theory and practice of using corpus methods and tools for stylistic analysis. Eight original case studies demonstrate how to use corpus tools to analyse style in a range of texts, from the contemporary to the historical. McIntyre and Walker explain how to develop appropriate research questions for corpus stylistic analysis, construct and annotate corpora, make sense of statistics, and analyse corpus data. In addition, the book provides practical advice on how to manage the transition from quantitative results to qualitative analysis, and explores how theories, models and frameworks from stylistics can be used to enhance the qualitative phase of corpus analysis. Supported by detailed instructions on how to access and use relevant corpus software, this is a user's guide to doing corpus stylistic analysis. For students and researchers in stylistics new to the use of corpus methods and theories, the book presents a 'how-to' guide; for corpus linguists it opens the door to the theories, models and frameworks developed in stylistics that are of value to mainstream corpus linguistics.
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EAN: 9781474413206
UPC: 9781474413206
ISBN: 9781474413206
MPN: N/A
Book Title: Corpus Stylistics: A Practical Introduction by Mci
Item Length: 24.4 cm
Item Weight: 0.76 kg
Item Height: 234 mm
Item Width: 156 mm
Author: Dan Mcintyre, Brian Walker
Publication Name: Corpus Stylistics: a Practical Introduction
Format: Hardcover
Language: English
Publisher: Edinburgh Tea & Coffee Company University Press
Subject: Computer Science
Publication Year: 2019
Type: Textbook
Number of Pages: 304 Pages