Multimodal Corpus Analysis
Multimodal Corpus Analysis is a systematic methodological framework within corpus linguistics that integrates and examines linguistic data alongside non-linguistic semiotic resources—such as visual, auditory, and gestural elements—from digitally annotated, synchronically aligned multimodal corpora to investigate the interplay of modes in meaning construction.
387
Publications
19.3K
Citations
1.3K
Authors
434
Institutions
Publications per year
2017–2026
193
387
Annotating Multi-media/Multi-modal Resources with ELAN
Hennie Brugman, Albert Russel · 2004 · 407 citations · Full text
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National Institute of Standards and Technology, United States
5 publications · 446 citations
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434
Max Planck Institute for Psycholinguistics
Nijmegen, The Netherlands
11 h-index
23 publications
2K citations

Radboud University Nijmegen
Nijmegen, The Netherlands
11 h-index
31 publications
1.1K citations
University of Southern California
Los Angeles, United States
7 h-index
19 publications
652 citations
Max Planck Society
Munich, Germany
6 h-index
9 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
7 publications
712 citations
Lancaster University
Lancaster, United Kingdom
6 h-index
15 publications
1.9K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
6 publications
84 citations
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Orsay, France
5 h-index
7 publications
103 citations
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Repository · 14 publications · 1.3K citations
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10 publications · 313 citations
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8 publications · 352 citations
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6 publications · 309 citations
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Repository · 6 publications · 76 citations
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