Formalizing Triggers: A Learning Model for Finite Spaces
In a recent seminal paper, Gibson and Wexler (1993) take important steps to formalizing the notion of language learning in a (finite) space whose grammars are characterized by a finite number of parameters. They introduce the Triggering Learning Algorithm (TLA) and show that even in finite spa...
Main Authors: | , |
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Language: | en_US |
Published: |
2004
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Online Access: | http://hdl.handle.net/1721.1/6618 |