Language Processing Models

Language Processing Models is a cognitive modeling framework that specifies the mechanisms and representations underlying human language comprehension and production by computationally simulating the mental processes involved in interpreting and generating linguistic input.

3K

Publications

257.7K

Citations

8.6K

Authors

1.7K

Institutions

Publications per year

2017–2026

1.5K

Authors

8.6K

  1. EF
    Evelina Fedorenko

    Massachusetts Institute of Technology, United States

    20 publications · 1.9K citations

    19

    h-index

  2. RL
    Roger Lévy

    Massachusetts Institute of Technology, United States

    19 publications · 1.9K citations

    17

    h-index

  3. SR
    Samuel R. Bowman

    New York University, United States

    16 publications · 1.6K citations

    15

    h-index

  4. PL
    Percy Liang

    Stanford University, United States

    15 publications · 6.2K citations

    14

    h-index

  5. YC
    Yejin Choi

    University of Washington, United States

    16 publications · 1.4K citations

    14

    h-index

1–5 of 8.6K

Venues

  1. arXiv (Cornell University)

    Repository · 345 publications · 26.3K citations

    71

    h-index

  2. Cognitive Science

    48 publications · 5.6K citations

    34

    h-index

  3. Frontiers in Psychology

    49 publications · 4.9K citations

    29

    h-index

  4. Language Cognition and Neuroscience

    37 publications · 3.4K citations

    25

    h-index

  5. Brain and Language

    26 publications · 2.3K citations

    21

    h-index

1–5