COGST 4240

COGST 4240

Course information provided by the 2025-2026 Catalog.

Computational models of natural languages. Topics are drawn from: tree syntax and context free grammar, finite state generative morpho-phonology, feature structure grammars, logical semantics, tabular parsing, Hidden Markov models, categorial and minimalist grammars, text corpora, information-theoretic sentence processing, discourse relations, and pronominal coreference.


Prerequisites Elementary Python (ex. CS 1133), LING 1101, or CS 2800, or PHIL 2310; for CS majors: Elementary Python and CS 2800.

Distribution Requirements (SMR-AS)

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one independent study. Combined with: CS 4744LING 4424LING 6424

  • 4 Credits Stdnt Opt

  •  3439 COGST 4240   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Rooth, M

  • Instruction Mode: In Person

    Prerequisite: CS 1133, LING 1101 or CS 2800 or PHIL 2310.

  •  6894 COGST 4240   IND 601

    • Jan 20 - May 5, 2026
    • Rooth, M

  • Instruction Mode: Independent Studies