Rule-based Morphological Segmentation

Rule-Based Morphological Segmentation is a morphological segmentation method that relies on predefined linguistic rules and expert-derived heuristics to decompose words into their constituent morphemes, distinguishing it from statistical or neural approaches by its reliance on manually crafted grammatical and orthographic constraints.

17

Publications

468

Citations

54

Authors

21

Institutions

Publications per year

2017–2026

3

Authors

54

  1. SD
    Sajib Dasgupta

    The University of Texas at Dallas, United States

    2 publications · 70 citations

    2

    h-index

  2. VM
    Vipul Mittal

    1 publications · 29 citations

    1

    h-index

  3. WD
    William D. James

    University of Pennsylvania, United States

    1 publications · 12 citations

    1

    h-index

  4. RK
    Ratnesh Kumar Joshi

    Indian Institute of Technology Bombay, India

    1 publications · 14 citations

    1

    h-index

  5. SM
    S.L. Miller

    Texas A&M University, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 54

Venues

  1. BRAC University Institutional Repository (BRAC University)

    Repository · 1 publications · 11 citations

    1

    h-index

  2. 1

    h-index

  3. Archives of Control Sciences

    1 publications · 14 citations

    1

    h-index

  4. Theranostics

    1 publications · 17 citations

    1

    h-index

  5. Language

    1 publications · 64 citations

    1

    h-index

1–5