Probabilistic Grammar Induction

Probabilistic Grammar Induction is a formal method in computational linguistics that belongs to the class of grammar induction techniques, distinguished by its use of probabilistic models to infer syntactic structures from observed linguistic data.

81

Publications

6.6K

Citations

177

Authors

71

Institutions

Publications per year

2017–2026

8

Authors

177

  1. SG
    Sharon Goldwater

    University of Edinburgh, United Kingdom

    6 publications · 882 citations

    6

    h-index

  2. TC
    Trevor Cohn

    The University of Melbourne, Australia

    5 publications · 237 citations

    5

    h-index

  3. NA
    Noah A. Smith

    Carnegie Mellon University, United States

    4 publications · 292 citations

    4

    h-index

  4. KT
    Kewei Tu

    ShanghaiTech University, China

    3 publications · 57 citations

    3

    h-index

  5. EC
    Eugene Charniak

    Brown University, United States

    3 publications · 224 citations

    3

    h-index

1–5 of 177

Venues

  1. ArXiv.org

    Repository · 3 publications · 371 citations

    3

    h-index

  2. 2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 39 citations

    2

    h-index

  4. Cognitive Science

    2 publications · 50 citations

    2

    h-index

  5. The Association for Computational Linguistics

    2 publications · 825 citations

    2

    h-index

1–5