This is a course on sentence
processing in Hungarian, involving experimental data and processing theories,
intended for students of language, cognition, psycholinguistics, as well as
students of Hungarian. One essential issue in sentence processing research
during the last 20 years has been the attempts to see how models developed for
Indo-European languages, and especially English do fit processing in other
languages. There were several attempts to clarify the universality issue
here from the competition model of Bates and MacWhinney through the Canonical
Forms model of Slobin and Bever to parameter setting. The course will present
data on Hungarian, a highly inflected agglutinative language that support the
notion that some languages use more analytic while others more holistic
strategies. Data on simple sentence interpretation, reading of complex
sentences, lexical decision, cross-modal priming as a function of morphology all
support a mixed model for Hungarian where primary decisions would be made on the
basis of localistic cues, but a second pass would still consider more general
sentence frames. The course will discuss some of the implications of these data
regarding how universal resources are differently combined together to deal with
different languages.
Days and Time: Wednesday, 2:30-5:00.