Multi-layer Corpus Annotation

Multi-Layer Corpus Annotation is a systematic method of linguistic data annotation in which multiple hierarchically organized, interdependent levels of linguistic information—such as phonological, morphological, syntactic, semantic, and pragmatic features—are simultaneously encoded within a single multimodal corpus to enable comprehensive analysis of cross-modal and cross-linguistic phenomena.

25

Publications

2K

Citations

79

Authors

23

Institutions

Publications per year

2017–2026

5

Authors

79

  1. AL
    Anke Lüdeling

    Humboldt-Universität zu Berlin, Germany

    3 publications · 148 citations

    3

    h-index

  2. MR
    Marc Reznicek

    Humboldt-Universität zu Berlin, Germany

    2 publications · 46 citations

    2

    h-index

  3. SH
    Silvia Hansen‐Schirra

    Johannes Gutenberg University Mainz, Germany

    2 publications · 42 citations

    2

    h-index

  4. PM
    Paola Monachesi

    Utrecht University, Netherlands

    2 publications · 30 citations

    2

    h-index

  5. SN
    Stella Neumann

    RWTH Aachen University, Germany

    2 publications · 42 citations

    2

    h-index

1–5 of 79

Venues

  1. edoc Publication server (Humboldt University of Berlin)

    Repository · 2 publications · 115 citations

    2

    h-index

  2. 1

    h-index

  3. International Conference on Computational Linguistics

    Conference · 1 publications · 23 citations

    1

    h-index

  4. Ghent University Academic Bibliography (Ghent University)

    Repository · 1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5