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Lyon
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-1-4577-1373-6
pp: 155-158
ABSTRACT
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, 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies 2011, pp. 155-158, doi:10.1109/WI-IAT.2011.188
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