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

Authors

1.3K

  1. LM
    Louis‐Philippe Morency

    Carnegie Mellon University, United States

    7 publications · 1.8K citations

    7

    h-index

  2. OC
    Onno Crasborn

    Radboud University Nijmegen, Netherlands

    6 publications · 322 citations

    6

    h-index

  3. HN
    Hermann Ney

    RWTH Aachen University, Germany

    5 publications · 338 citations

    5

    h-index

  4. CS
    Craig S. Greenberg

    National Institute of Standards and Technology, United States

    5 publications · 446 citations

    5

    h-index

  5. CW
    Chee Wee Leong

    Educational Testing Service, United States

    4 publications · 224 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 1.3K citations

    12

    h-index

  2. Language Resources and Evaluation

    10 publications · 313 citations

    9

    h-index

  3. Journal of Pragmatics

    8 publications · 352 citations

    8

    h-index

  4. Metaphor and Symbol

    6 publications · 309 citations

    6

    h-index

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

    Repository · 6 publications · 76 citations

    6

    h-index

1–5