Empirical analysis of local coherence processing in sentence comprehension (ELoC)
Language processing is among the most complex and most enlightening cognitive skills. This project focuses on local coherences in sentences, i.e. substrings in the sentence that can form sentences by themselves in isolation. (E.g. “Hans, dem Peter überrascht den Dieb zeigt, ruft die Polizei.” Local coherence: Peter überrascht den Dieb.). Local coherences have not received much attention yet, regardless of the language. They are important because processing evidence could suggest a paradigm shift towards the dynamical systems approach. We are particularly interested in the levels (surface, syntax, semantics) at which local coherences are processed. We will address this issue with three experimental paradigms: eye-tracking while reading, visual world, and online anomaly detection. Inter-individual processing differences will be related to executive and working-memory variables that will provide a profound insight into the underlying architecture and mechanisms.
|ELoC consists of :||Student assistants||Former members|