Corpus-based Glossing

Corpus-Based Glossing is a linguistic annotation methodology that systematically assigns interlinear glosses to textual elements within a corpus, distinguished by its reliance on authentic, naturally occurring language data to ensure empirical representativeness in morphosyntactic and semantic labeling.

14

Publications

380

Citations

35

Authors

21

Institutions

Publications per year

2017–2026

6

Authors

35

  1. AP
    Alexis Palmer

    Saarland University, Germany

    2 publications · 37 citations

    2

    h-index

  2. TM
    Taesun Moon

    The University of Texas at Austin, United States

    2 publications · 37 citations

    2

    h-index

  3. JB
    Jason Baldridge

    The University of Texas at Austin, United States

    2 publications · 37 citations

    2

    h-index

  4. VZ
    Valerie Zartarian

    Environmental Protection Agency, United States

    1 publications · 117 citations

    1

    h-index

  5. LK
    L. Kozakov

    IBM Research - Thomas J. Watson Research Center, United States

    1 publications · 44 citations

    1

    h-index

1–5 of 35

Venues

  1. Discourse and Interaction

    1 publications · 11 citations

    1

    h-index

  2. Journal of Exposure Science & Environmental Epidemiology

    JESEE · 1 publications · 117 citations

    1

    h-index

  3. ReCALL

    1 publications · 28 citations

    1

    h-index

  4. IBM Systems Journal

    1 publications · 44 citations

    1

    h-index

  5. Linguistic Issues in Language Technology

    LILT · 1 publications · 20 citations

    1

    h-index

1–5