The document discusses the development of corpora at the University of Nottingham, including both mono-modal corpora containing one type of data (text-based) and multi-modal corpora containing multiple data types (text, video, audio). It describes the Nottingham Multi-Modal Corpus and Nottingham Learner Corpora as examples. The Nottingham eLanguage Corpus aims to collect diverse digital language data types from individuals, including SMS, email, social media, web browsing history, and location data. One challenge is modeling how language varies based on dynamic contextual factors. As a case study, the document outlines the Thrill corpus containing synchronized audio, video and sensor data from fairground rides, to examine linguistic patterns across different phases

1. Corpora and context: A discussion of ‘Thrill’ Dawn Knight, Ronald Carter and Svenja Adolphs

3. DRS: Digital Replay System (video demo)

10. Ubiquitous (heterogeneous) corpora

11. A day in the life of your language

15. DRS Demo- some new developments

18. Feasibility Corpora: Thrill

24. Observations of Thrill- (oh) my god (Oh) my god is used 85 times by 21 different speakers in the corpus. It occurs most often at phases 2 and 3 of the ride- ride elevation and movement. Phase 3

27. Acknowledgements Research team The Digital Records for e-Social Science Project is funded by the ESRC.