Volume 37 Issue 5
Oct.  2021
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GUAN Yue. Multimodal Interaction Mechanism of Speech Videos Based on ELAN[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2021, 37(5): 499-510.
Citation: GUAN Yue. Multimodal Interaction Mechanism of Speech Videos Based on ELAN[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2021, 37(5): 499-510.

Multimodal Interaction Mechanism of Speech Videos Based on ELAN-A Case Study of TED Educational Speech Video

  • Received Date: 2020-09-01
    Available Online: 2021-09-13
  • Publish Date: 2021-10-25
  • In recent years, multimodal discourse analysis has become a hot topic in the study of linguistics. Speech video is a typical dynamic multimodal discourse. This paper adopts modal density foreground-background continuum as methodological framework and ELAN multimodal analysis software as the modal annotation tool. According to multimodal interaction analysis theory proposed by Norris, this paper analyzes the role of each communicative mode in the construction of this speech information and the interactive mechanism between these modes in a TED educational speech video. It is found that modal intensity and modal density of each communicative mode in the problem introduction part, problem posing part, problem analysis part and problem solving part of this speech video are different. Spoken language and other communicative modes show the relationship of reinforcement, complementarity and juxtaposition, thereby jointly constructing the meaning of multimodal interaction.

     

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