Morphological Analogical Modeling

Morphological Analogical Modeling is a computational linguistic framework that systematically infers word formation patterns by leveraging analogical reasoning to model morphological relationships across lexical forms.

29

Publications

1.5K

Citations

38

Authors

24

Institutions

Publications per year

2017–2026

4

Authors

38

  1. DE
    David Eddington

    University of Illinois Chicago, United States

    5 publications · 206 citations

    5

    h-index

  2. RH
    R. Harald Baayen

    University of Tübingen, Germany

    4 publications · 491 citations

    4

    h-index

  3. RS
    Royal Skousen

    Brigham Young University, United States

    2 publications · 124 citations

    2

    h-index

  4. AK
    Andrea Krott

    University of Birmingham, United Kingdom

    2 publications · 206 citations

    2

    h-index

  5. PL
    Philippe Langlais

    Université de Montréal, Canada

    2 publications · 73 citations

    2

    h-index

1–5 of 38

Venues

  1. Language

    5 publications · 418 citations

    5

    h-index

  2. English Language and Linguistics

    3 publications · 212 citations

    3

    h-index

  3. Linguistics

    2 publications · 164 citations

    2

    h-index

  4. Language and Cognitive Processes

    1 publications · 70 citations

    1

    h-index

  5. Empirical Methods in Natural Language Processing

    Conference · 1 publications · 63 citations

    1

    h-index

1–5