Applications of Pattern-driven Methods in Corpus Linguistics

Editors
Joanna Kopaczyk | University of Glasgow
ORCID logoJukka Tyrkkö | Linnaeus University Växjö
HardboundAvailable
ISBN 9789027200136 | EUR 99.00 | USD 149.00
 
e-Book
ISBN 9789027264565 | EUR 99.00 | USD 149.00
 
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The use of corpora has conventionally been envisioned as being either corpus-based or corpus-driven. While the formal definition of the latter term has been widely accepted since it was established by Tognini-Bonelli (2001), it is often applied to studies that do not, in fact, fullfil the fundamental requirement of a theory-neutral starting point. This volume proposes the term pattern-driven as a more precise alternative. The chapters illustrate a variety of methods that fall under this broad methodology, such as the extraction of lexical bundles, POS-grams and semantic frames, and demonstrate how these approaches can uncover new understandings of both synchronic and diachronic linguistic phenomena.
[Studies in Corpus Linguistics, 82] 2018.  vii, 313 pp.
Publishing status: Available
Table of Contents
Cited by

Cited by 5 other publications

Brett, David Finbar
2023. Is Travel Journalism more similar to Newspaper Language or the Language of Tourism? A corpus-based study. Studies in Travel Writing 26:2  pp. 152 ff. DOI logo
Groom, Nicholas
2019. Construction Grammar and the corpus-based analysis of discourses. International Journal of Corpus Linguistics 24:3  pp. 291 ff. DOI logo
Heaton, Dan, Elena Nichele, Jeremie Clos & Joel E. Fischer
2024. “ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT. AI and Ethics DOI logo
Heaton, Dan, Elena Nichele, Jérémie Clos & Joel E Fischer
2024. Perceptions of the Agency and Responsibility of the NHS COVID-19 App on Twitter: Critical Discourse Analysis. Journal of Medical Internet Research 26  pp. e50388 ff. DOI logo
Römer, Ute, Viviana Cortes & Eric Friginal
2020. Introduction. In Advances in Corpus-based Research on Academic Writing [Studies in Corpus Linguistics, 95],  pp. 2 ff. DOI logo

This list is based on CrossRef data as of 20 february 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects

Main BIC Subject

CFX: Computational linguistics

Main BISAC Subject

LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2017045531 | Marc record