Self-generating Texts

Self-Generating Texts is a procedural writing methodology that systematically produces textual content through algorithmic or rule-based mechanisms inherently embedded within the text generation process, distinguishing it from externally directed or manually authored approaches.

6

Publications

264

Citations

14

Authors

7

Institutions

Publications per year

2017–2026

4

Authors

14

  1. ML
    Michael Liut

    University of Toronto, Canada

    1 publications · 68 citations

    1

    h-index

  2. IS
    Ingerid S. Straume

    University of Oslo, Norway

    1 publications · 33 citations

    1

    h-index

  3. OK
    Oscar Karnalim

    Maranatha Christian University, Indonesia

    1 publications · 68 citations

    1

    h-index

  4. MS
    Michael Sheinman Orenstrakh

    Maranatha Christian University, Indonesia

    1 publications · 68 citations

    1

    h-index

  5. CA
    Carlos Aníbal Suárez

    Maranatha Christian University, Indonesia

    1 publications · 68 citations

    1

    h-index

1–5 of 14

Venues

  1. Journal of Academic Writing

    1 publications · 33 citations

    1

    h-index

  2. Societies

    1 publications · 61 citations

    1

    h-index

  3. Research and Practice in Technology Enhanced Learning

    RPTEL · 1 publications · 52 citations

    1

    h-index

  4. The Reading Teacher

    RT · 1 publications · 32 citations

    1

    h-index

  5. Biography

    1 publications · 18 citations

    1

    h-index

1–5