Collocation Extraction

Collocation Extraction is the computational process of identifying statistically significant word combinations that co-occur more frequently than expected by chance in natural language text, distinguishing it from general phrase detection by its reliance on quantitative association measures within corpus linguistics.

154

Publications

9.2K

Citations

294

Authors

131

Institutions

Publications per year

2017–2026

21

Authors

294

  1. ÉW
    Éric Wehrli

    University of Geneva, Switzerland

    8 publications · 219 citations

    8

    h-index

  2. VS
    Violeta Seretan

    University of Geneva, Switzerland

    7 publications · 201 citations

    7

    h-index

  3. JS
    Jason S. Chang

    National Tsing Hua University, Taiwan

    6 publications · 188 citations

    6

    h-index

  4. LW
    Leo Wanner

    Universitat Pompeu Fabra, Spain

    6 publications · 113 citations

    6

    h-index

  5. FS
    Frank Smadja

    Columbia University, United States

    4 publications · 1K citations

    4

    h-index

1–5 of 294

Venues

  1. Computer Assisted Language Learning

    6 publications · 353 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 89 citations

    3

    h-index

  3. International Journal of Corpus Linguistics

    IJCL · 3 publications · 132 citations

    2

    h-index

  4. International Journal of Lexicography

    IJL · 2 publications · 46 citations

    2

    h-index

  5. Computational Linguistics

    2 publications · 249 citations

    2

    h-index

1–5