Multimodal studies : exploring issues and domains

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"Why adopt a multimodal approach?"

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ICMC2020: International Conference on Multimodal Communication CFP

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RMIT University. State Library of Western Australia. The University of Melbourne. The University of Sydney. Multimodal Studies Kay L. SmithPart 1:Issues in Multimodal Studies 2.

K. Multimodality Readings

Bateman 3. Smith 5. Eisenlauer Altre Informazioni. ISBN: Whereas machine learning algorithms require usually a large amount of data — that should furthermore also be well balanced, equally distributed, unbiased etc. In this presentation, I will argue that the multimodal aspect of natural language together with methodologies like analogy-making and conceptual blending can potentially be used as a model for a more cognitively inspired approach towards concept learning. Based on models developed originally for abstract disciplines like mathematics we will extend this to models for concept learning facilitated by multimodal communication.

A special focus of his research is the field of computational creativity, in particular, with respect to concept invention, learning abstract concepts from data, and conceptual blending in domains such as music and mathematics.

Title: A grammarian's look at non-verbal correlates of constructions: Multimodality and conventionality in the grammar of genre. Abstract: In this talk I present and discuss an array of grammatical constructions that are associated with specific genres and discourse settings, including folk tales, stage directions, Alcoholics Anonymous, and empathetic narration. I sketch the relations of such constructions to the rest of the grammar through inheritance and investigate posture and gestural correlates.

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While not all of these can be unequivocally integrated into constructional descriptions due to their non-obligatory, dissociable nature, I suggest that a multimodal view of grammatical constructions offers an ideal ground for exploring in depth a relevant and more subtle concept of conventionality not necessarily covered by Langackerian entrenchment. Abstract: Much of the analysis of co-speech gesture has been based on the careful and detailed manual analysis of video recordings, which is so time-consuming that it does not scale to large datasets.

In my talk, I would like to show how the semi-automatic and fully-automatic analysis of multimodal communication on a much coarser level enables us to answer a different set of questions than the manual method did. We will see that for the analysis of both the video and the audio, automatic analysis can reveal patterns that are hard to spot in small datasets.

Exploring Issues and Domains, 1st Edition

To this end, computer vision software and automatic measurements of audio features are combined with corpus-linguistic methods into a unified workflow for data analysis. The presentation will include case studies and a live demo of the dataset and tools developed. His current research project on large-scale multimodal corpus linguistics aims at creating new methods for research on multimodal communication by integrating insights and tools from corpus linguistics, computational linguistics, speech recognition and computer vision. Abstract: Cognitive scientists such as Michael Tomasello and Stephen Levinson, among many others, have argued that cooperation, as humans practice it, is a natural and unique feature of human social behavior: a key element of what distinguishes our cognition from that of other primates, central to the language faculty, the complexity of our cultural institutions, and more.

At the same time, humans can be tremendously uncooperative on a monumental scale, in baroque, creative, and even monstrous ways. What's more, it's very tricky for us to assess how transparent or opaque we have actually been, in the moment.

This talk takes up these issues with respect to the case of "cooperative uncooperativity" in discourse—when we join forces with others in pursuit of shared and mutually enjoyed goals that involve deception, misinformation, and other kinds of ostensibly uncooperative results. Very often understanding these kinds of discourse is impossible without considering them from a multimodal perspective.

This talk will present a range of examples from film, news media, experimental studies, legal discourse, puzzles, and more to show how the difficulty of being appropriately difficult shapes conversation, rhetoric, and narrative—and how crucial multimodal approaches are to the study of these phenomena. Participation is free but requires registration separate from the conference registration. This workshop will be a hands-on introduction to the Red Hen datasets, research tools, and integrated workflows.

Learn how to develop your research questions, craft them into testable hypotheses, and utilize the full range of search tools available. You will be introduced to the command-line interface, the Edge and Edge2 search engines, and CQPweb, and learn how to output and export the datasets you want to work on.