Corpus-based Multimodality

Corpus-Based Multimodality is a research paradigm within multimodal corpus analysis that systematically integrates multiple modes of communication—such as linguistic, visual, auditory, and gestural data—within a corpus-based framework to enable empirical, data-driven investigation of multimodal interaction and meaning-making.

64

Publications

2.5K

Citations

162

Authors

92

Institutions

Publications per year

2017–2026

23

Authors

162

  1. CP
    Catherine Pélachaud

    Centre National de la Recherche Scientifique, France

    4 publications · 103 citations

    4

    h-index

  2. JB
    John Bateman

    University of Bremen, Germany

    3 publications · 111 citations

    3

    h-index

  3. DK
    Dawn Knight

    Cardiff University, United Kingdom

    3 publications · 148 citations

    3

    h-index

  4. RC
    Ronald Carter

    University of Nottingham, United Kingdom

    3 publications · 127 citations

    3

    h-index

  5. SA
    Svenja Adolphs

    University of Nottingham, United Kingdom

    3 publications · 127 citations

    3

    h-index

1–5 of 162

Venues

  1. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 3 publications · 39 citations

    3

    h-index

  2. Corpora

    3 publications · 109 citations

    3

    h-index

  3. Journal of Pragmatics

    2 publications · 76 citations

    2

    h-index

  4. IEEE Transactions on Affective Computing

    TAC · 2 publications · 475 citations

    2

    h-index

  5. Language Resources and Evaluation

    2 publications · 89 citations

    2

    h-index

1–5