Web Corpus Querying

Web Corpus Querying is a corpus querying method that specifically involves the systematic retrieval and analysis of linguistic data from web-based textual sources to investigate syntactic, semantic, or lexical patterns in natural language.

41

Publications

2.9K

Citations

92

Authors

49

Institutions

Publications per year

2017–2026

10

Authors

92

  1. AK
    Adam Kilgarriff

    University of Brighton, United Kingdom

    6 publications · 365 citations

    6

    h-index

  2. PR
    Pavel Rychlý

    Masaryk University, Czechia

    4 publications · 141 citations

    4

    h-index

  3. WM
    Wim Martens

    University of Bayreuth, Germany

    4 publications · 208 citations

    4

    h-index

  4. TT
    Thomas Timm

    University of Bayreuth, Germany

    4 publications · 208 citations

    4

    h-index

  5. AB
    Angela Bonifati

    Université Claude Bernard Lyon 1, France

    4 publications · 208 citations

    4

    h-index

1–5 of 92

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 230 citations

    3

    h-index

  2. IEEE Intelligent Systems

    1 publications · 24 citations

    1

    h-index

  3. International Journal of Legal Discourse

    1 publications · 32 citations

    1

    h-index

  4. edoc Publication server (Humboldt University of Berlin)

    Repository · 1 publications · 101 citations

    1

    h-index

  5. Conference on Innovative Data Systems Research

    Conference · 1 publications · 55 citations

    1

    h-index

1–5