Readability Features

Readability Features is a computational linguistic construct that quantifies textual characteristics such as lexical complexity, syntactic sophistication, and discourse structure to predict the ease with which a human reader can understand a given text.

136

Publications

15.1K

Citations

303

Authors

151

Institutions

Publications per year

2017–2026

35

Authors

303

  1. DM
    Detmar Meurers

    University of Tübingen, Germany

    7 publications · 471 citations

    7

    h-index

  2. SV
    Sowmya Vajjala

    University of Tübingen, Germany

    6 publications · 430 citations

    6

    h-index

  3. TF
    Thomas François

    UCLouvain, Belgium

    5 publications · 257 citations

    5

    h-index

  4. BM
    Bill McDonald

    University of Notre Dame, United States

    3 publications · 2K citations

    3

    h-index

  5. GV
    Giulia Venturi⋄

    Institute for Computational Linguistics “A. Zampolli”, Italy

    3 publications · 197 citations

    3

    h-index

1–5 of 303

Venues

  1. ACM Journal of Computer Documentation

    JCD · 3 publications · 215 citations

    3

    h-index

  2. The Journal of Reading

    2 publications · 62 citations

    2

    h-index

  3. Journalism Quarterly

    2 publications · 31 citations

    2

    h-index

  4. IEEE Transactions on Communications

    2 publications · 57 citations

    2

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 2 publications · 51 citations

    2

    h-index

1–5