All Outputs (25)

Spelling errors and keywords in born-digital data: a case study using the Teenage Health Freak Corpus (2014)
Journal Article
Smith, C., Adolphs, S., Harvey, K., & Mullany, L. (2014). Spelling errors and keywords in born-digital data: a case study using the Teenage Health Freak Corpus. Corpora, 9(2), https://doi.org/10.3366/cor.2014.0055

The abundance of language data that is now available in digital form, and the rise of distinct language varieties that are used for digital communication, means that issues of non-standard spellings and spelling errors are, in future, likely to becom... Read More about Spelling errors and keywords in born-digital data: a case study using the Teenage Health Freak Corpus.

CANELC: constructing an e-language corpus (2014)
Journal Article
Knight, D., Adolphs, S., & Carter, R. (2014). CANELC: constructing an e-language corpus. Corpora, 9(1), https://doi.org/10.3366/cor.2014.0050

This paper reports on the construction of CANELC: the Cambridge and Nottingham e-language Corpus.3 CANELC is a one million word corpus of digital communication in English, taken from online discussion boards, blogs, tweets, emails and SMS messages. T... Read More about CANELC: constructing an e-language corpus.

CANELC: constructing an e-language corpus (2014)
Journal Article
Knight, D., Adolphs, S., & Carter, R. (2014). CANELC: constructing an e-language corpus. Corpora, 9(1), 29-56. https://doi.org/10.3366/cor.2014.0050

This paper reports on the construction of the Cambridge and Nottingham e-language Corpus (CANELC).

This corpus has been built as part of a collaborative project between the University of Nottingham and Cambridge University Press with whom sole cop... Read More about CANELC: constructing an e-language corpus.

Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., & Lang, A. (2021). Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study. Arts and Humanities Research Council (AHRC), grant reference AH/V015125/1

This study uses corpus linguistics to analyse opinions on messaging and public health measures from one resource—comments posted in response to articles containing references to borders from The Guardian online. Overall, commenters made international... Read More about Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study.

Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., Aydt, M., Tom, T., & Lang, A. (2022). Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online. University of Nottingham: AHRC/UKRI

The Coronavirus Discourses project supports public health partners Public Health Wales, Public Health England, and NHS Education for Scotland in addressing key challenges that the coronavirus pandemic presents in terms of understanding the flow and i... Read More about Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online.