COGST 4240

COGST 4240

Course information provided by the Courses of Study 2021-2022.

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.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: Elementary Python (CS 1133 suffices), LING 1101 or CS 2800 or PHIL 2310. Prerequisite for CS majors: Elementary Python and CS 2800.

Distribution Category (MQR-AS, SMR-AS)

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: CS 4744LING 4424LING 6424

  • 4 Credits Stdnt Opt

  •  6204 COGST 4240   LEC 001

    • TR Klarman Hall KG70
    • Jan 24 - May 10, 2022
    • van Schijndel, M

  • Instruction Mode: In Person
    Prerequisites: LING 1101 or equivalent background in linguistics and CS 2110 or equivalent preparation in computer science.