The UCREL Corpus Research Seminar (CRS) is a forum for all staff, visiting academics, and postgraduate research students interested in corpus-based research in any area of linguistics. CRS is run by UCREL (University Centre for Computer Corpus Research on Language), a research centre between the Department of Linguistics and English Language and the School of Computing and Communications.
CRS meetings offer an opportunity to present work in progress and receive helpful feedback, discuss relevant research, approaches and methods, get experience in using corpus interfaces and tools, and stay up to date with corpus-based research at Lancaster University. We welcome anyone who is a newcomer to this exciting and growing area of linguistics. We welcome presentations from researchers of other departments and universities.
On this site, along with general information, you will find a list of upcoming seminars and an archive of past seminars. If you have any suggestions of things to add to the site, then please get in touch.
In 2014/2015 CRS meetings will be on Thursdays at 1pm during term time, unless otherwise indicated.
Notifications of seminars are sent to the UCREL Mailing List, sign up if you would like to receive them and other UCREL related messages. You can also follow us on Twitter, where we post updates on upcoming seminars.
If you need more information or want to give a presentation, please contact one of the CRS organisers:
[...] = add @lancs.ac.uk for email address.
This website is still under construction. The previous website has an archive of past seminars.
We acknowledge the following funding for external speakers: CASS and UCREL research centres, the Faculty of Arts and Social Sciences, the Department of Linguistics and English Language and the School of Computing and Communications.
The UCREL Corpus Research Seminars this academic year (2014/15) will be on Thursdays 1pm-2pm during term time, unless otherwise indicated, please check our upcoming page for the time and location of any future presenations. If you would like to give a talk or have a suggestion for an external speaker to invite, then please get in touch.
Monday 24th November 2014
Bowland North seminar room 2
Detecting Gender Bias in Media Coverage of Politicians Using Automated Text Classification
This talk presents research that used machine learning and natural language processing to analyse the content of newspaper articles in order to detect gender bias in the coverage of politicians. The content of newspaper articles was analysed to highlight differences in the coverage of male and female politicians. These differences were then examined to identify evidence of gender bias.
The corpus analysed in this research contained Irish newspaper articles featuring male and female politicians over a 15-year period along with coverage of candidates in the 2011 Irish presidential election. The corpus was processed using various natural language processing techniques. Machine learning algorithms were then used to identify differences in the coverage of male and female politicians in text classification tasks and the context in which some of these differences occurred were analysed for evidence of gender bias.
This research uncovered evidence of gender bias including stereotypical portrayals of politicians and differences in how male and female politicians were associated with policy issues. It also presents an approach to automatically detecting patterns in text that facilitates large-scale analyses of corpora.
Susan Leavy is an adjunct assistant professor in the School of Computer Science and Statistics at Trinity College Dublin. She just completed her PhD, which used techniques from artificial intelligence including machine learning and natural language processing to analyse the representation of female politicians in the media. She holds an MSc in Artificial Intelligence from Edinburgh University, an MPhil in Gender and Women's Studies from Trinity College Dublin and has a decade of international experience in technology in investment banking.
This is a joint meeting of the LIP, RiGLS and UCREL research groups.
Contact: Veronika Koller, firstname.lastname@example.org
Extra session co-organised with RiGLS/LIP
Week 8: 26th November 2014 (4:00-5:00pm)
County South C89
Big Educational Data: any good for SLA research?
Week 8: 28th November 2014 (1:00-2:00pm)
Furness LT 2
Building Learner Corpora to analyse L2 oral interlanguage in English-Mandarin bilinguals
Week 9: 4th December 2014 (1:00-2:00pm)
Furness LT 3
Evolutionary Plagiarism: Tracing Dissemination Pathways in 19th-Century Reprints
Week 10: 11th December 2014 (1:00-2:00pm)
Furness LT 3
A corpus-based bimodal analysis of referential behavior to inanimate objects