Purpose: To explore the increasingly important literature on computational models of human language learning. The focus is on simulations of human language acquisition, where the aim is not simply accuracy, but rather similarity to human accuracy (including error), the order of acquisition, etc. Especially interesting is work which aspires to neurological plausibility. The present course aims to explore this work by reading and discussing published papers. Our primary purpose therefore does not include an examination of applications of machine learning in natural language processing, i.e., studies whose primary aim is to improve, e.g., parsing accuracy.
Example: Tim Dorscheidt, Nicola Valchev and Terence van Zoelen Minimal Generalization of Dutch Diminutives, project report on the 2006-2007 course.
Prerequisites The course assumes familiarity with basic concepts of machine learning, but there will be time to review occasionally unfamiliar concepts as well. The course is aimed at students in research masters' programs, which assumes serious motivation and scientific maturity.
Note This course is referred to as Computermodellen voor taalverwerving in the Dutch course catalogue.
|Docent||prof.dr.ir. J. Nerbonne|
|Literature||Michael Brent. Computational Approaches to Language Acquisition. Cambridge: MIT Press. '97|
|Some other literature.|
|Organization||Seminars with student presentations as well as discussion and (perhaps) presentations by guest researchers. All students are expected to read each paper and participate in discussions, as well as present at least one paper. Instructor will make early presentations, and lead discussions for these sessions, but will not lecture after the first meetings.|
|Place||Tues. 15:30-17, A-weg 30, Rm 104|
|Thurs. 14:15-16, Harmonie 12.012|
|Credit||Credit based on: leading discussion on (1-2) papers; contributions to discussions; either writing a brief (10-12pp) summary and critique of a paper or an implementation of a psycholinguistic hypothesis with report of results.|
|Information||J.Nerbonne at RuG dot nl|