Computing Dynamic Meanings: Building Integrated Competence-Performance Theories for Semantics

 

 

Language and Computation Courses

Advanced Course

Computing Dynamic Meanings: Building Integrated Competence-Performance Theories for Semantics,
Jakub Dotlačil (University of Amsterdam, The Netherlands) and Adrian Brasoveanu (University of California, Santa Cruz, USA)

Week 1, 14:00 – 15:30, Room 255, Floor 2

The day-to-day program for the course is available at:

https://people.ucsc.edu/~abrsvn/esslli-2018-course.html

Course description

This course will introduce a framework for developing integrated competence-performance theories for natural language semantics. Specifically, we will explicitly model semantic interpretation as part of a general cognitive architecture. Our theory, implemented in a computational model, of semantic interpretation as a cognitive process satisfies the following properties:

  1. it is incremental (e.g., it proceeds in the standard, left-to-right fashion)
  2. it models cognitive processes needed in interpretation (in particular, access to and retrieval from declarative memory)
  3. it can be matched and tested against performance data (on-line behavioral measures collected, for instance, in eye tracking experiments)

 

The theory is built by connecting dynamic semantics approaches to natural language meaning and interpretation (DRT, Kamp 1981, Kamp and Reyle, 1993, FCS, Heim 1982, DPL, Groenendijk and Stokhof, 1991) with the cognitive architecture ACT-R (Anderson and Lebiere, 1998). Along the way, the course presents detailed performance / behavioral data that theories of interpretation as a cognitive process will have to account for.