Abstract
The paper presents an online search system built for the “Russian Pear Chats & Stories” corpus (RUPEX). RUPEX is a collection of communication sessions used for studying multichannel discourse. It aims at discovering how interlocutors use verbal, prosodic, oculomotor, manual gesticulation and other channels as they take part in natural monologic and dialogic communication. The sessions were recorded with microphones, video cameras, and eye trackers, and an integrated multichannel annotation scheme was implemented to them. The search system operates on these data and provides an intuitive graphic user interface that offers the following options: creating simple and complex queries, viewing search results in a multi-layered annotation format associated with video fragments, specifying search domain. To illustrate this functionality, we discuss search queries relevant to a specific multichannel research, that of dialogic elicitations.
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Korotaev, N.A., Dobrov, G.B., Khitrov, A.N. (2021). RUPEX Search: Online Tool for Analyzing Multichannel Discourse. In: Velichkovsky, B.M., Balaban, P.M., Ushakov, V.L. (eds) Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics. Intercognsci 2020. Advances in Intelligent Systems and Computing, vol 1358. Springer, Cham. https://doi.org/10.1007/978-3-030-71637-0_44
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