Corpus-driven Terminology

Corpus-Driven Terminology is a methodological approach within terminology science that systematically derives terminological units and their contextual patterns directly from empirical analysis of authentic linguistic corpora, distinguished by its reliance on bottom-up, data-led identification of terms without prior theoretical or expert-based assumptions.

35

Publications

1.8K

Citations

63

Authors

31

Institutions

Publications per year

2017–2026

7

Authors

63

  1. NG
    Natalia Grabar

    Université de Lille, France

    2 publications · 29 citations

    2

    h-index

  2. ŁG
    Łukasz Grabowski

    University of Opole, Poland

    2 publications · 173 citations

    2

    h-index

  3. PZ
    Pierre Zweigenbaum

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France

    2 publications · 29 citations

    2

    h-index

  4. JJ
    Jason Jongwon Choi

    United States National Library of Medicine, United States

    1 publications · 20 citations

    1

    h-index

  5. HD
    H. David Jeong

    Texas A&M University, United States

    1 publications · 49 citations

    1

    h-index

1–5 of 63

Venues

  1. International Journal of Lexicography

    IJL · 3 publications · 78 citations

    3

    h-index

  2. 3

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  3. English Language and Linguistics

    1 publications · 23 citations

    1

    h-index

  4. American Speech

    1 publications · 87 citations

    1

    h-index

  5. 1

    h-index

1–5