Andrew Kehoe
List of John Benjamins publications for which Andrew Kehoe plays a role.
Articles
2022 A data-driven approach to finding significant changes in language use through time series analysis Broadening the Spectrum of Corpus Linguistics: New approaches to variability and change, Flach, Susanne and Martin Hilpert (eds.), pp. 284–317
This paper conducts a diachronic study of language change in a corpus covering almost 30 years of mainstream UK news text. In our previous studies, several databases were compiled from the corpus, including diachronic records of word frequency, collocation and morphological analysis. Upon user… read more | Chapter
2019 “Thanks for the donds”: A corpus linguistic analysis of topic-based communities in the comment section of The Guardian Reference and Identity in Public Discourses, Lutzky, Ursula and Minna Nevala (eds.), pp. 127–158
In this chapter we use corpus linguistic techniques to analyse reader comments on the website of the UK newspaper The Guardian. Our research is based on a corpus containing over 500,000 articles published on the website from 2007 to 2010, along with all 6.2 million comments made on those articles.… read more | Chapter
2016 Your blog is (the) shit: A corpus linguistic approach to the identification of swearing in computer mediated communication International Journal of Corpus Linguistics 21:2, pp. 165–191
The study of swearing has increased in the last decade, diversifying to include a wider range of data and methods of analysis. Nevertheless, certain types of data and specifically large corpora of computer mediated communication (CMC) have not been studied extensively. In this paper, we fill a gap… read more | Article
2013 Filling the gaps: Using the WebCorp Linguist’s Search Engine to supplement existing text resources International Journal of Corpus Linguistics 18:2, pp. 167–198
The aim of this paper is to demonstrate the functionality of the WebCorp Linguist’s Search Engine (WebCorpLSE) by comparing it with two other freely-available online data resources: Google and the Corpus of Contemporary American English (COCA). In particular, the paper looks at how WebCorpLSE can… read more | Article