Web Corpus Retrieval

Web Corpus Retrieval is a methodological framework within corpus retrieval that specifically involves the systematic acquisition and extraction of linguistic data from web-based sources to construct or query text corpora for computational linguistic analysis.

63

Publications

2.9K

Citations

186

Authors

73

Institutions

Publications per year

2017–2026

8

Authors

186

  1. MB
    Marco Baroni

    University of Trento, Italy

    3 publications · 216 citations

    3

    h-index

  2. AK
    Adam Kilgarriff

    University of Brighton, United Kingdom

    3 publications · 216 citations

    3

    h-index

  3. MH
    Matthias Hagen

    Bauhaus-Universität Weimar, Germany

    3 publications · 85 citations

    3

    h-index

  4. BS
    Benno Stein

    Bauhaus-Universität Weimar, Germany

    3 publications · 85 citations

    3

    h-index

  5. JP
    Jan Pomikálek

    Masaryk University, Czechia

    2 publications · 92 citations

    2

    h-index

1–5 of 186

Venues

  1. Literary and Linguistic Computing

    LLC · 2 publications · 26 citations

    2

    h-index

  2. Computer Assisted Language Learning

    2 publications · 80 citations

    2

    h-index

  3. Text REtrieval Conference

    Conference · 2 publications · 258 citations

    2

    h-index

  4. 2

    h-index

  5. 1

    h-index

1–5