Cognitive Science | Seminar In Cognitive Science
Q700 | 14681 | Cavar, Damir


Q700, 5:45pm-6:45pm, TuTh,

Topic:  Computational Modeling of Language Acquistion


Machine learning (ML) methods, e.g. symbolic and non-symbolic,
statistical, numerical and categorical algorithms for induction and
clustering, are used in modeling and hypothesis testing of human
cognitive abilities, as well as in empirical linguistic research and
applied computational linguistics.
In this course we will discuss a variety of statistical and symbolic
ML algorithms and their application in domains including applied
computational linguistics, psycholinguistics and cognitive science.
Through selected readings, exercises, demonstrations and
programming, this course will a.) survey a range of issues relating
ML algorithms to natural language processing and psycholinguistic
and cognitive modeling, b.) provide practical experience applying
different ML strategies to linguistic data.

(Prior programming experience and/or basic knowledge of statistical
and symbolic ML methods is presupposed.)

This Course meets with Linguistics L700