Arabic Morphological Analysis

Arabic Morphological Analysis is the computational process of determining and assigning morphological features—such as root, pattern, part-of-speech, number, case, and gender—to Arabic words through systematic analysis of their non-concatenative internal structure.

887

Publications

38.1K

Citations

1.6K

Authors

508

Institutions

Publications per year

2017–2026

193

Authors

1.6K

  1. NH
    Nizar Habash

    Columbia University, United States

    27 publications · 2.6K citations

    23

    h-index

  2. AM
    Adel M. Alimi

    University of Sfax, Tunisia

    22 publications · 811 citations

    18

    h-index

  3. SA
    Sabri A. Mahmoud

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    13 publications · 801 citations

    12

    h-index

  4. VM
    Volker Märgner

    Technische Universität Braunschweig, Germany

    11 publications · 949 citations

    11

    h-index

  5. SK
    Slim Kanoun

    University of Sfax, Tunisia

    12 publications · 399 citations

    11

    h-index

1–5 of 1.6K

Venues

  1. Pattern Recognition

    19 publications · 1.4K citations

    18

    h-index

  2. Language

    17 publications · 1.5K citations

    14

    h-index

  3. Journal of the American Oriental Society

    16 publications · 836 citations

    13

    h-index

  4. 10

    h-index

  5. 10

    h-index

1–5

See also

Arabic Morphological Analysis

Core Methods

Linguistic Features

Evaluation

Applications

Variants