Prefix Recognition

Prefix Recognition is a computational linguistic method that identifies and segments prefix morphemes in word forms by distinguishing them from root morphemes and other affixes through rule-based or machine learning approaches.

64

Publications

3.6K

Citations

172

Authors

91

Institutions

Publications per year

2017–2026

10

Authors

172

  1. MT
    Marcus Taft

    UNSW Sydney, Australia

    3 publications · 1.2K citations

    3

    h-index

  2. MA
    Mubashir Ali

    University of Bergamo, Italy

    2 publications · 44 citations

    2

    h-index

  3. RK
    Roger Khazan

    Brandeis University, United States

    2 publications · 32 citations

    2

    h-index

  4. CB
    Cécile Beauvillain

    Centre National de la Recherche Scientifique, France

    2 publications · 255 citations

    2

    h-index

  5. SS
    Sandeep Sikka

    Universidad Católica Santo Domingo, Dominican Republic

    2 publications · 78 citations

    2

    h-index

1–5 of 172

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 49 citations

    2

    h-index

  2. Language and Cognitive Processes

    2 publications · 113 citations

    2

    h-index

  3. Theoretical Computer Science

    2 publications · 66 citations

    2

    h-index

  4. Algorithmica

    2 publications · 42 citations

    2

    h-index

  5. Journal of Verbal Learning and Verbal Behavior

    2 publications · 1.2K citations

    2

    h-index

1–5