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Course topics: fundamentals of Fourier theory and its application to speech signals, parameterization of the speech signal for automatic and human speech recognition, state space models for speech recognition and connections to human language parsing, fundamentals of machine learning applied to supervised learning of sound categories.

An introduction to the study of language change and language variability and their relationships to general linguistic theory. Prerequisites: LINGUIST 601, 603.

Provides hands-on experience in linguistic analysis. Students elicit language data from the speaker of an unfamiliar language, both in class and individually. Under the guidance of the instructor, students analyze various aspects of the phonology and syntax of the language.

Course description not available at this time.

Course description not available at this time.

Course description not available at this time.

Description not available at this time

Advanced, intensive work on specific topics in syntax. Topic varies. Prerequisite: LINGUIST 604.