Connectionist Language Processing
Vorlesung mit Übung: Computerlinguistik, M.Sc.Leitung: Matthew Crocker
Ort: C71 Raum U15
Zeit: Mo 14-16, Fr 10-12
Geeignet für: M.Sc.
This course will examine neurocomputational (or connectionist) models of human language processing. We will start from biological neurons, and show how their processing behavior can be modeled mathematically. The resulting artificial neurons will then be wired together to form artificial neural networks, and we will discuss how such networks can be applied to build neurocomputational models of language learning and language processing. It will be shown that such models effectively all share the same computational principles, and that any differences in their behaviour is driven by differences in the representations that they process and construct. Near the end of the course, we will use the accumulated knowledge to construct a psychologically plausible neurocomputational model of incremental (word-by-word) language comprehension that constructs a rich utterance representation beyond a simple syntactic derivation or semantic formula.
Lectures and readings will be in English.
Exam at the end of the semester.
Stellung im Studienplan
M.Sc. Program: Optional Course, contributes to specialization Computational Psycholinguistics.