Beyond Modal Spoken Corpora: A Dynamic Approach to Tracking Language in Context
Svenja Adolphs, Dawn Knight, Ronald Carter · Palgrave Macmillan UK eBooks · 2015
The case study described in this chapter involves the incorporation of ‘nonlinguistic’ data streams in spoken corpus analysis. Here new possibilities are outlined for how we may relate use of language measurements of different aspects of context gathered from multiple sensors (especially, for example, of position, movement and time). Such alternative data streams are seen to be a means of generating valuable insights into discourse, by exploring the extent to which everyday language and communicative choices can be determined by different spatial, social and experiential contexts and can embrace a variety of different non-linguistic sources of data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.