ArticleJournal of cognition2021
Considering the Nature of Multimodal Language from a Crosslinguistic Perspective.
Article in Journal of cognition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Combined eye tracking and electroencephalography during referential selection in dyadic interaction.Behavior research methods · 2026Article
- Situating Language in the Real-World: Authors' Reply to Commentaries.Journal of cognition · 2021Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Language in its primary face-to-face context is multimodal (e.g., Holler and Levinson, 2019; Perniss, 2018). Thus, understanding how expressions in the vocal and visual modalities together contribute to our notions of language structure, use, processing, and transmission (i.e., acquisition, evolution, emergence) in different languages and cultures should be a fundamental goal of language sciences. This requires a new framework of language that brings together how arbitrary and non-arbitrary and motivated semiotic resources of language relate to each other. Current commentary evaluates such a proposal by Murgiano et al (2021) from a crosslinguistic perspective taking variation as well as systematicity in multimodal utterances into account.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.