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.
This class has 24.961 as a prerequisite.
24.981 will not be offered this semester. It will be available in the Spring semester, and will be instructed by A. Albright.
This class counts for a total of 12 credits. This is a graduate-level class.
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