Semiotically-grounded distant viewing of diagrams: insights from two multimodal corpora.
In this article, we argue for the benefits of combining large-scale analyses of visual materials currently pursued within digital humanities with insights from multimodality research, which is an emerging discipline that studies how human communication relies on appropriate combinations of expressiv...
| Publicado en: | Digital Scholarship in the Humanities Vol. 37; no. 2; pp. 405 - 426 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Jun2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=157821891&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 157821891 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Jun2022 vid: 37 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 157821891 10.1093/llc/fqab063 ppf: 405 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.6MB tig: atl: Semiotically-grounded distant viewing of diagrams: insights from two multimodal corpora. aug: au: Hiippala, Tuomo Bateman, John A affil: Department of Languages, University of Helsinki , Helsinki, Finland Department of English, Universität Bremen, Germany and Department of Linguistics, Universität Bremen , Germany su: Corpora Digital humanities Coding theory Materials analysis Metadata sug: subj: Corpora Digital humanities Coding theory Materials analysis Metadata ab: In this article, we argue for the benefits of combining large-scale analyses of visual materials currently pursued within digital humanities with insights from multimodality research, which is an emerging discipline that studies how human communication relies on appropriate combinations of expressive resources. We show that concepts developed within the field of multimodality research provide appropriate metadata schemes for various modes of expression in large corpora and datasets. We illustrate the proposed approach using a common mode of expression, diagrams, and analyse two recent multimodal diagram corpora using statistical and computational methods. Our results suggest that multimodally-motivated metadata schemes can provide a robust foundation for computational analyses of large corpora and datasets. Even if a corpus or dataset is not designed to support full-blown analyses of multimodal communication, our results imply that multimodality theory can still be used to impose tighter analytical control over a variety of visual materials. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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