This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
An Architecture for Bootstrapping Lexical Semantics and Grammatical Structures
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
Computational approaches to language acquisition typically reduce the problem to one of either learning syntax, or learning a lexicon -- isolated tasks. These problem simplifications have led to disconnected solutions and algorithms with no expectation of grounded inputs. We propose a language learning framework for bootstrapping the acquisition of a grammar and learning lexical semantics. We describe the framework and provide an instantiation using context-free grammars and a lambda-calculus semantic representation.
Index Terms:
lexical learning, natural language learning, bootstrap learning
Citation:
Tom Armstrong, Tim Oates, "An Architecture for Bootstrapping Lexical Semantics and Grammatical Structures," wi-iat, vol. 3, pp.155-158, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
Usage of this product signifies your acceptance of the Terms of Use.