Corpus Size Selection

Corpus Size Selection is a methodological decision within corpus linguistics that determines the optimal volume of textual data required for a comparable corpus to ensure statistical reliability and cross-linguistic validity in linguistic or computational analysis.

35

Publications

2.1K

Citations

84

Authors

50

Institutions

Publications per year

2017–2026

7

Authors

84

  1. PP
    Patrick Pantel

    Yahoo (United States), United States

    2 publications · 400 citations

    2

    h-index

  2. JC
    János Csirik

    University of Szeged, Hungary

    2 publications · 591 citations

    2

    h-index

  3. VV
    Veronika Vincze

    University of Szeged, Hungary

    2 publications · 591 citations

    2

    h-index

  4. RF
    Richárd Farkas

    University of Szeged, Hungary

    2 publications · 591 citations

    2

    h-index

  5. GS
    György Szarvas

    University of Szeged, Hungary

    2 publications · 591 citations

    2

    h-index

1–5 of 84

Venues

  1. Linguistic Research

    1 publications · 17 citations

    1

    h-index

  2. 1

    h-index

  3. 1

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  4. International Review of Sociology

    1 publications · 12 citations

    1

    h-index

  5. Morphology

    1 publications · 13 citations

    1

    h-index

1–5