Morphological Parsing Models

Morphological Parsing Models is a computational framework that identifies and analyzes the internal structure of words by segmenting them into morphemes and assigning grammatical features, distinguishing itself from other linguistic analysis models through its focus on fine-grained morphological decomposition and surface form generation.

284

Publications

13.7K

Citations

605

Authors

235

Institutions

Publications per year

2017–2026

45

Authors

605

  1. RT
    Reut Tsarfaty

    Bar-Ilan University, Israel

    10 publications · 393 citations

    10

    h-index

  2. MH
    Mans Hulden

    University of Colorado Boulder, United States

    6 publications · 333 citations

    6

    h-index

  3. KO
    Kemal Oflazer

    Bilkent University, Türkiye

    6 publications · 226 citations

    6

    h-index

  4. CD
    Chris Dyer

    Carnegie Mellon University, United States

    6 publications · 443 citations

    6

    h-index

  5. YG
    Yoav Goldberg

    Bar-Ilan University, Israel

    5 publications · 328 citations

    5

    h-index

1–5 of 605

Venues

  1. Journal of Memory and Language

    7 publications · 793 citations

    7

    h-index

  2. International Conference on Computational Linguistics

    Conference · 5 publications · 115 citations

    5

    h-index

  3. Machine Translation

    5 publications · 103 citations

    5

    h-index

  4. Computational Linguistics

    5 publications · 322 citations

    5

    h-index

  5. Natural Language Engineering

    4 publications · 56 citations

    4

    h-index

1–5