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Cue-based learners in parametric language systems: application of general results in a recently proposed learning algorithm based on unambiguous 'superparsing'

Abstract

Cue-based learners have often been proposed as models of language acquisition by linguists working within the Principles and Parameters framework. Drawing on a general theory of cue-based learners described in detail elsewhere (Bertolo et al., 1997), we show here that a recently proposed learning algorithm (Fodor's Structural Triggers Learner (1997)) is an instance of a cue-based learner and that it is therefore unable to learn systems of linguistic parameters that have been proved to be beyond the reach of any cue-based learner We demonstrate this analytically, by investigating the behavior of the STL on a linguistically plausible space of syntactic parameters.

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