Multimodal Learner Corpora

Multimodal Learner Corpora is a learner corpus that integrates multiple modes of data—such as written, spoken, gestural, and visual input—recorded during second language learning and use, distinguished by its systematic alignment and analysis of complementary modalities to provide a more comprehensive representation of learner language behavior.

21

Publications

1.1K

Citations

51

Authors

27

Institutions

Publications per year

2017–2026

5

Authors

51

  1. SG
    Sylviane Granger

    UCLouvain, Belgium

    2 publications · 247 citations

    2

    h-index

  2. SO
    Sharon Oviatt

    Oregon Health & Science University, United States

    2 publications · 71 citations

    2

    h-index

  3. AG
    Anabela Gonçalves

    University of Lisbon, Portugal

    1 publications · 23 citations

    1

    h-index

  4. ML
    Marie Laure Betbeder

    Le Mans Université, France

    1 publications · 20 citations

    1

    h-index

  5. TC
    Thierry Chanier

    Université Clermont Auvergne, France

    1 publications · 20 citations

    1

    h-index

1–5 of 51

Venues

  1. ReCALL

    2 publications · 46 citations

    2

    h-index

  2. Journal of English Linguistics

    1 publications · 21 citations

    1

    h-index

  3. The ESPecialist

    1 publications · 19 citations

    1

    h-index

  4. 1

    h-index

  5. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 1 publications · 15 citations

    1

    h-index

1–5