Query-driven Corpus Design

Query-Driven Corpus Design is a corpus design methodology that belongs to the field of corpus linguistics and computational language research, distinguished by its systematic construction of textual collections based on the specific linguistic or analytical queries they are intended to support, thereby prioritizing relevance and task-oriented representativeness over general-purpose comprehensiveness.

17

Publications

848

Citations

43

Authors

24

Institutions

Publications per year

2017–2026

4

Authors

43

  1. AK
    Adam Kilgarriff

    University of Brighton, United Kingdom

    2 publications · 129 citations

    2

    h-index

  2. GD
    Gilles-Maurice de Schryver

    Ghent University, Belgium

    2 publications · 47 citations

    2

    h-index

  3. JP
    Jan Pomikálek

    Masaryk University, Czechia

    1 publications · 45 citations

    1

    h-index

  4. SO
    Solomon Ogbomon Uwagbole

    Edinburgh Napier University, United Kingdom

    1 publications · 35 citations

    1

    h-index

  5. TA
    Tressy Arts

    Lexical Computing

    1 publications · 84 citations

    1

    h-index

1–5 of 43

Venues

  1. Corpora

    2 publications · 165 citations

    2

    h-index

  2. Lexikos

    1 publications · 27 citations

    1

    h-index

  3. Institutional Repositories DataBase (IRDB)

    Repository · 1 publications · 13 citations

    1

    h-index

  4. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5