24.981
Topics in Computational Phonology
Exploration of issues in the computational modeling of phonology: finding generalizations in data, formalisms for representing phonological knowledge, modeling grammar acquisition, and testing phonological theories by means of implemented models. Experience using and developing models, including preparing training data, running simulations, and interpreting their results. No background in programming or machine learning is assumed.
Prerequisites & course information
Prereq: 24.961 or permission of instructor G (Fall) 3-0-9 units
Sources
- Course catalogue ↗2026–2027