[comp.ai.neural-nets] Stefan Shrier on Abduction Machines for Grammars

pratt@zztop.rutgers.edu (Lorien Y. Pratt) (12/03/88)

This is the last talk of the semester.  Thanks for helping to make this
a successful colloquium series!
   --Lori

				 Fall, 1988  
		     Neural Networks Colloquium Series 
				 at Rutgers  

		  Abduction Machines for Grammar Discovery
		  ----------------------------------------

				Stefan Shrier
			  Grumman-Ctec, McLean, VA

		    Room 705 Hill center, Busch Campus  
		  Friday December 9, 1988 at 11:10 am 
		    Refreshments served before the talk


                                   Abstract   

  Abduction machines (AMs) discover regularity structure in patterns.
  For language patterns (e.g., English sentences) several such machines
  demonstrate how they learn some aspects of language. The machines
  embody algorithms that train to learn word classes and grammars.
  These machines exhibit linguistic competence in the sense that they
  can produce and process "new" sentences to which they had not been
  exposed during training.  A computer model, which simulates a
  learner, acquires an interesting subset of English grammar from
  another computer model which simulates a teacher who knows the
  language.
-- 
-------------------------------------------------------------------
Lorien Y. Pratt                            Computer Science Department
pratt@paul.rutgers.edu                     Rutgers University
                                           Busch Campus
(201) 932-4634                             Piscataway, NJ  08854