CS 4745

CS 4745

Course information provided by the 2025-2026 Catalog.

An in-depth exploration of modern computational linguistic techniques. A continuation of LING 4424 - Computational Linguistics I. Whereas LING 4424 covers foundational techniques in symbolic computational modeling, this course will cover a wider range of applications as well as coverage of neural network methods. We will survey a range of neural network techniques that are widely used in computational linguistics and natural language processing as well as a number of techniques that can be used to probe the linguistic information and language processing strategies encoded in computational models. We will examine ways of mapping this linguistic information both to linguistic theory as well as to measures of human processing (e.g., neuroimaging data and human behavioral responses).


Prerequisites REF-FA25/Corequisites REF-FA25 LING 4424 and one other 3000 level or above linguistics course. Corequisites: None.

Distribution Requirements (OPHLS-AG), (SDS-AS)

Last 4 terms offered (None)

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one independent study. Combined with: LING 4434LING 6434

  • 4 Credits Graded

  •  6562 CS 4745   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • van Schijndel, M

  • Instruction Mode: In Person

  •  7125 CS 4745   IND 601

    • TBA
    • Aug 25 - Dec 8, 2025
    • van Schijndel, M

  • Instruction Mode: Independent Studies