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IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
IVACS 2010
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IVACS 2010

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- Adolphs, S., Carter, R. and Knight, D. …

- Adolphs, S., Carter, R. and Knight, D.

- Second phase multi-modal corpora: Heterogeneous datasets for linguistic analysis.

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  • SVENJA
  • SVENJA
  • DAWN
  • DAWN
  • DAWN
  • DAWN
  • DAWN
  • SVENJA
  • SVENJA
  • SVENJA
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  • DAWN
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  • SVENJA and DAWN
  • SVENJA and DAWN
  • Transcript

    • 1. Second phase multi-modal corpora: Heterogeneous datasets for linguistic analysis Dawn Knight, Svenja Adolphs and Ronald Carter
    • 2. DRS: Digital Replay System (video demo)
    • 3. Current multi-modal corpora- key ‘types’
      • 1- Developed by researchers whose primary concern is on ‘how to improve human-computer interaction’ (Gu, 2006: 132). Here the corpus construction is seen an explorative exercise; to discover the breath and depth of multi-modal datasets that can be assembled, and how this is best achieved
      • 2- Social science motivated studies, focusing on ‘multi-modal and multimedia studies of discourse’ where the primary focus us on a concern for the behaviour of ‘human beings’ (Gu, 2006: 132)
    • 4. Multi-modal corpora- types (based on Oertel et al., 2010)
    • 5. Limitations of multi-modal corpora
      • Most are relatively small in size. The largest, the AMI (business meeting) corpus, contains 100 hours of video, but only a small number of these have been transcribed/annotated
      • The majority record in lab-type settings, with fixed cameras and up to 4-5 static, seated participants
      • Many are specialist and context/domain specific- the extent to which data is ‘naturalistic’ or ‘real-life’ can be challenged
      • The availability of data and software is generally limited to institutions/funding bodies responsible for constructing datasets
    • 6. Considerations for multi-modal corpora
      • Design and infrastructure : Concerning what the data in the corpus looks like; what sorts of recordings and included and the basic design methodology used to collect, compile and represent this data
      • Size and scope : Amount of data (in terms of hours and/or word count) and the variation in the types included (in terms of the range of speakers or different contexts included and so on)
    • 7. Requirements for multi-modal corpora
      • Quality : The resolution of the video and audio recordings, and the level of detail added to annotations and/or metadata recorded associated with these
      • Authenticity : How ‘natural’ or real is the data; is it scripted and/or structured or more spontaneous
      • Availability and (re)usability : Access rights to data, whether corpora are published and can be utilised and analysed by other researchers
    • 8. DReSS II: Research aims and objectives
      • To produce digital records, which combine familiar forms of data with computational recordings of interaction
        • Not only to record novel forms of data but to develop means whereby social scientists can inspect the opaque character of social interaction and communication in the digital society
        • Development will be driven by an experimental project that seeks to explore a day in the life of a member of the digital society
      • These studies will be complemented by new forms of corpus analysis that go beyond existing techniques to ‘pump prime’ the development of the population observatory ?
    • 9. Ubiquitous (heterogeneous) corpora
    • 10. Data Types
      • ‘ Data’ types include (in progress):
        • SMS/ MMS messaging
        • Blogging
        • Chat room and message board discourse
        • Email Usage
        • Face-to-face situated discourse
        • GPS or manual map-based tracking
        • Web browsing activity (automated logging of sites)
        • Phone calls (home and/or mobile)
        • Text messaging
        • Video calls (mobile or online, e.g. Skype
    • 11. A day in the life of your language
    • 12. Software requirements
      • The ability to search data and metadata in a principled and specific way (encoded and/or transcribed text-based data), within and/or across the three global domains of data; devices/ data type(s), time and/or location and participants/ given contributions.
      • Tools that allow for the frequency profiling of events/ elements within and across domains (providing raw counts, basic statistical analysis tools, and methods of graphing such).
      • Variability in the provisions for transcription and the ability for, for example, representing simultaneous speech and speaker overlaps.
      • Graphing tools for mapping the incidence of words or events, for example, over time and for comparing sub-corpora and domain specific characteristics.
    • 13. DRS Demo- some new developments
    • 14. Open questions
      • How can we ensure that the data is sufficient, informative, useful……how much is ‘enough’?
      • How can we model context in a way that is meaningful to humans as well as to computers?
      • How will the development of heterogeneous corpora impact on:
          • Theories
          • Concepts
          • Methods
          • Guidelines
    • 15. Acknowledgements Research team The Digital Records for e-Social Science Project is funded by the ESRC.

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