Language Processing

LING

83103

Language Processing

Language is perhaps the best window we have into cognition. Humans' knowledge of language consists not only in grammatical representation, but in the processes which operate over such representation. Thus, how we are able to convert gradient, continuous, ephemeral perceptual signals into discrete, mental symbols (and vice versa) is of fundamental importance to work toward a fuller understanding of our cognitive system of language. This course will provide a wide-ranging but in-depth overview of topics in the real-time processing of language, speech, and related perceptual domains. Particular focus will be placed on the use of simple algorithmic models and related experiments in order to explore the specific mechanisms involved in the mental representation and use of language. We will read and critique both classic and contemporary primary literature in language processing and psycholinguistics, including the empirical methods and primary data common in the field. Specific topics may vary somewhat year to year but will include some subset of: Marr’s levels of analysis for information processing systems (computational, algorithmic, and implementation), speech perception, lexical access, perceptual learning, syntactic parsing and comprehension, parallel vs. incremental processing, categorical perception, language production, the role of frequency and statistical information in linguistic knowledge, continuous vs. discrete representations, word and concept learning, pragmatic processing, as well as eye-movements in reading and perception.

Graduate School Graduate

No

030893