Corpus-driven Collocation Analysis

Corpus-Driven Collocation Analysis is a methodological approach in computational linguistics that identifies and examines linguistic co-occurrence patterns directly from empirical corpus data without prior theoretical assumptions, distinguishing it from rule-based or corpus-informed methods by its reliance on statistically significant associations derived inductively from large-scale textual evidence.

119

Publications

14.4K

Citations

200

Authors

94

Institutions

Publications per year

2017–2026

21

Authors

200

  1. LW
    Leo Wanner

    Universitat Pompeu Fabra, Spain

    5 publications · 97 citations

    5

    h-index

  2. MA
    Margarita Alonso Ramos

    Universidade da Coruña, Spain

    4 publications · 93 citations

    4

    h-index

  3. SE
    Stefan Evert

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    3 publications · 91 citations

    3

    h-index

  4. KK
    Kenji Kita

    Tokushima University, Japan

    2 publications · 78 citations

    2

    h-index

  5. PU
    Peter Uhrig

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 49 citations

    2

    h-index

1–5 of 200

Venues

  1. International Journal of Corpus Linguistics

    IJCL · 9 publications · 1.6K citations

    9

    h-index

  2. Corpora

    4 publications · 211 citations

    4

    h-index

  3. Computer Assisted Language Learning

    4 publications · 139 citations

    4

    h-index

  4. Dialnet (Universidad de la Rioja)

    Repository · 3 publications · 85 citations

    3

    h-index

  5. International Journal of Lexicography

    IJL · 3 publications · 69 citations

    3

    h-index

1–5