Multimodal Corpora
Multimodal Corpus is a systematically structured collection of naturalistic language data that integrates multiple semiotic modes—such as audio, video, gesture, and text—alongside verbal language to enable the analysis of how meaning is constructed through the interplay of diverse communicative resources.
2.1K
Publications
138.5K
Citations
7.9K
Authors
1.4K
Institutions
Publications per year
2017–2026
1.3K
2.1K
The Routledge Handbook of Multimodal Analysis
Charles Forceville · Journal of Pragmatics · 2010 · 1.7K citations
Flamingo: a Visual Language Model for Few-Shot Learning
arXiv (Cornell University) · 2022 · 1.2K citations · Full text
1–5 of 2.1K
7.9K
24
h-index
22
h-index
14
h-index
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France
16 publications · 592 citations
13
h-index
13
h-index
1–5 of 7.9K
1.4K
Carnegie Mellon University
Pittsburgh, United States
35 h-index
152 publications
15K citations

Centre National de la Recherche Scientifique
Paris, France
25 h-index
142 publications
5.1K citations
Tsinghua University
Beijing, China
23 h-index
95 publications
7.9K citations

Chinese Academy of Sciences
Beijing, China
22 h-index
86 publications
5.8K citations

Imperial College London
London, United Kingdom
22 h-index
55 publications
7.2K citations
Google (United States)
Mountain View, United States
21 h-index
120 publications
18.7K citations
Massachusetts Institute of Technology
Cambridge, United States
21 h-index
63 publications
6.4K citations
University of Southern California
Los Angeles, United States
20 h-index
63 publications
5K citations
1–8 of 1.4K
Repository · 181 publications · 12.6K citations
46
h-index
TAC · 34 publications · 6.7K citations
28
h-index
22 publications · 1.9K citations
20
h-index
Conference · 25 publications · 1.2K citations
20
h-index
24 publications · 1.7K citations
18
h-index
1–5