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 fill gaps in these sources. It begins by contextualising the WebCorpLSE project in relation to its parent project, WebCorp, and other ‘web as corpus’ initiatives. It then outlines the advantages of WebCorpLSE over Google search, before turning to a comparison of WebCorpLSE with COCA. Comparisons are made by matching extracts of textual and graphical output generated by each system. It is shown that WebCorpLSE provides information not available via the other search mechanisms, and that it can thus, in accordance with Mair’s (2007) argument for a combined approach to diachronic text study, usefully serve not only as a stand-alone tool, but as a complementary resource.
2017. Patterns of Google use in language reference and learning: a user survey. Journal of Computers in Education 4:4 ► pp. 419 ff.
Lutzky, Ursula & Andrew Kehoe
2016. Your blog is (the) shit. International Journal of Corpus Linguistics 21:2 ► pp. 165 ff.
Lutzky, Ursula & Andrew Kehoe
2017. “Oops, I didn’t mean to be so flippant”. A corpus pragmatic analysis of apologies in blog data. Journal of Pragmatics 116 ► pp. 27 ff.
This list is based on CrossRef data as of 17 october 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.