Feature-based Morphological Analysis

Feature-Based Morphological Analysis is a morphological analysis approach that belongs to the class of computational methods in natural language processing and is distinguished by its reliance on linguistically motivated morphosyntactic features to systematically represent and disambiguate word forms.

108

Publications

3.8K

Citations

286

Authors

133

Institutions

Publications per year

2017–2026

26

Authors

286

  1. NH
    Nizar Habash

    Columbia University, United States

    5 publications · 328 citations

    5

    h-index

  2. HT
    Harald Trost

    Austrian Research Institute for Artificial Intelligence, Austria

    4 publications · 63 citations

    4

    h-index

  3. OR
    Owen Rambow

    Columbia University, United States

    3 publications · 243 citations

    3

    h-index

  4. RB
    Regina Barzilay

    Massachusetts Institute of Technology, United States

    2 publications · 79 citations

    2

    h-index

  5. KM
    Karine Megerdoomian

    Mitre (United States), United States

    2 publications · 51 citations

    2

    h-index

1–5 of 286

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 86 citations

    3

    h-index

  2. Computer Speech & Language

    2 publications · 119 citations

    2

    h-index

  3. 2

    h-index

  4. Publications of the UdS (Saarland University)

    Repository · 2 publications · 22 citations

    2

    h-index

  5. Technological Forecasting and Social Change

    2 publications · 129 citations

    2

    h-index

1–5