Title:   Probabilistic Computational Psycholinguistics:
         A Tutorial on Language Processing by Humans

Speaker: Professor Dan Jurafsky

         Departments of Linguistics and Computer Science,
         Institute of Cognitive Science, and  
         Center for Spoken Language Research  
         290 Hellems
         University of Colorado, Boulder, CO
         80309-0295 USA +1-973-360-8490  FAX: USA +1-303-492-4416
         jurafsky@colorado.edu

Summary: This tutorial is designed to introduce comptutational
	 linguists to the latest research in psycholinguistics, and
	 computational modeling of psycholinguistic results. This
	 includes lexical access in comprehension and production,
	 parsing and sentence comprehension, and discourse
	 comprehension and production. As the title suggests, we will
	 cover the probabilistic models in detail, but
	 non-probabilistic computational models of psycholinguistics
	 will also be addressed (including memory-based and neural-net
	 models).  This tutorial will be interesting to any
	 computational linguist who wants to know what's new in
	 psycholinguistics and cognitive modeling.

Tutorial Outline: 3 hour tutorial; details subject to change

         (1.5 hours) OVERVIEW of RECENT ADVANCES IN PSYCHOLINGUISTICS 

           30 min: Sentence processing (parsing and comprehension)
           20 min: Lexical and sub-lexical comprehension
           20 min: Lexical and sub-lexical production
           20 min: Discourse comprehension and production
        
         (1.5 hours) SURVEY OF PROBABILISTIC AND OTHER COMPUTATIONAL MODELS:
      
           25 min: Models of lexical and syntactic production 
           25 min: Models of lexical and sub-lexical access/comprehension
           40 min: Models of syntactic and semantic comprehension: 
              25 min: Probabilistic/etc of preference/disambiguation
              15 min: Memory-based models of processing difficulty

Bio:     Dan Jurafsky's research focuses on statistical models of human
	 and machine language processing, especially automatic speech
	 recognition and understanding, computational
	 psycholinguistics, and natural language processing.  His most
	 recent book, with James H. Martin, is the textbook "Speech and
	 Language Processing".