Data · dataset · 2023
Linguistic Typology of Motion Events in Visual Narratives - Data and Publication
Listed in IISH Dataverse
Languages use different strategies to encode motion.
Description
Some use particles or “satellites” to describe a path of motion (Satellite-framed or S-languages like English), while others typically use the main verb to convey the path information (Verb-framed or V-languages like French). We here ask: might this linguistic variation lead to differences in the way paths are depicted in visual narratives like comics?
We analyzed a corpus of 85 comics originally created by speakers of S-languages (comics from the United States, China, Germany) and V-languages (France, Japan, Korea) for both their depictions of path segments (source, route, and goal) and the visual cues signaling these paths and manner information (e.g., motion lines and postures). Panels from S-languages depicted more path segments overall, especially routes, than those from V-languages, but panels from V-languages more often isolated path segments into their own panels.
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Additionally, comics from S-languages depicted more motion cues than those from V-languages, and this linguistic typology also interacted with panel framing. Despite these differences across typological groups, analysis of individual countries’ comics showed more nuanced variation than a simple S-V dichotomy. These findings suggest a possible influence of spoken language structure on depicting motion events in visual narratives and their sequencing.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FF9UIDB ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/f9uidb ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FF9UI… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Arts and Humanities
- From keywords
- Corpus linguistics · Humanities
- Inferred from text
- Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/F9UIDB | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:470404 | mapping · datasets iisg amsterdam | vocabulary-mapper@1.0.0 | keywords['Corpus linguistics'] |
| concepts[field].dataverse_subject:arts-and-humanities | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[modality].local:modality:sequencing | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |