Here you will find details of our Research Seminars. If you would like to be sent the meeting link, please contact April Harper, who will be able to provide you with log on details. They provisionally take place on Mondays, Wednesdays and Fridays.
If you would like to read about past Research Seminars, they are detailed on our RGCL Blog Archive.
Technologies for Translation and Interpreting: Challenges and Latest Developments
Seminar Lead: Professor Ruslan Mitkov
This vibrant seminar series hosts leading scholars and CEOs of companies to report on their work and vision related to the technology for translators and interpreters covering among other topics translation and interpreting tools and resources and Natural Language Processing and Artificial Intelligence solutions. The seminar series has both strong research and industrial foci and as such serves not only as a forum showcasing latest research, professional practices, software and business developments but also bridging the gap between academia and the industry.
Machine Learning/Deep Learning
Seminar Lead: Dr Burcu Can
Machine Learning/Deep Learning seminar series aims to discuss current trends and challenges in machine learning and deep learning. The seminar series welcomes talks on machine learning models and algorithms, neural network architectures, representation learning techniques with an application to text, image, and speech. The seminar series also welcomes talks on the analysis and interpretation of neural networks.
Natural Language Processing
Seminar Lead: Dr Frédéric Blain
The seminar series on Natural Language Processing will offer the opportunity to our students to hear from researchers and industry practitioners about the most recent developments in the field. Among the research areas relevant to NLP, the seminar series shall cover work on machine translation, text categorisation and summarisation, sentiment analysis, as well as some of its application, such as in fake news detection, healthcare, etc.
Seminar Leads: Dr Tharindu Ranasinghe and Dr Emma Franklin
Digital Humanities, aka Cultural Analytics, is the computational study of the Humanities in a way that advanced Humanities research in such disciplines as history, literature, film, and geography. Commonly used methods are Natural Language Processing, Network Analysis, and Visualisation. Computational methods for the Humanities promise a revolution in Humanities research as they work hand in hand with domain experts who carry out the close readings. The Digital Humanities seminar series will give the students and staff the opportunity to listen to talks by, and engage with, leading figures in humanities computing from across the spectrum.