Context-free Language Recognition

Context-Free Language Recognition is a computational method that identifies whether a given string belongs to a context-free language by employing a pushdown automaton or a context-free grammar as the defining mechanism for language membership.

58

Publications

6.4K

Citations

74

Authors

52

Institutions

Publications per year

2017–2026

3

Authors

74

  1. WL
    Walter L. Ruzzo

    University of Washington, United States

    6 publications · 723 citations

    6

    h-index

  2. WR
    Wojciech Rytter

    University of Warsaw, Poland

    4 publications · 128 citations

    4

    h-index

  3. SC
    Stephen Cook

    University of Toronto, Canada

    3 publications · 309 citations

    3

    h-index

  4. PA
    P.R.J. Asveld

    University of Twente, Netherlands

    3 publications · 58 citations

    3

    h-index

  5. PR
    Paul Rodriguez

    University of California San Diego, United States

    2 publications · 271 citations

    2

    h-index

1–5 of 74

Venues

  1. Information and Control

    5 publications · 1K citations

    5

    h-index

  2. Journal of the ACM

    JACM · 3 publications · 147 citations

    3

    h-index

  3. SIAM Journal on Computing

    3 publications · 273 citations

    3

    h-index

  4. Linguistics and Philosophy

    2 publications · 847 citations

    2

    h-index

  5. 2

    h-index

1–5