Genre-specific Readability

Genre-Specific Readaising is a textual complexity assessment model that belongs to the broader class of readability metrics and is distinguished by its focus on quantifying the ease of reading within particular Arabic text genres, such as news, academic writing, or religious discourse.

13

Publications

519

Citations

28

Authors

14

Institutions

Publications per year

2017–2026

2

Authors

28

  1. SB
    Snehasish Banerjee

    Nanyang Technological University, Singapore

    2 publications · 78 citations

    2

    h-index

  2. AY
    Alton Y.K. Chua

    Nanyang Technological University, Singapore

    2 publications · 78 citations

    2

    h-index

  3. LA
    Louise Amoore

    Durham University, United Kingdom

    1 publications · 24 citations

    1

    h-index

  4. SH
    Sunny Hyon

    California State University, San Bernardino, United States

    1 publications · 10 citations

    1

    h-index

  5. JA
    Jim Anderson

    University of British Columbia, Canada

    1 publications · 81 citations

    1

    h-index

1–5 of 28

Venues

  1. Big Data & Society

    1 publications · 24 citations

    1

    h-index

  2. 1

    h-index

  3. ITL Review of Applied Linguistics

    1 publications · 27 citations

    1

    h-index

  4. ANZ Journal of Surgery

    1 publications · 25 citations

    1

    h-index

  5. Deep Blue (University of Michigan)

    Repository · 1 publications · 10 citations

    1

    h-index

1–5