Skip to main content
Download PDF
- Main
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.
Main Content
For improved accessibility of PDF content, download the file to your device.
Enter the password to open this PDF file:
File name:
-
File size:
-
Title:
-
Author:
-
Subject:
-
Keywords:
-
Creation Date:
-
Modification Date:
-
Creator:
-
PDF Producer:
-
PDF Version:
-
Page Count:
-
Page Size:
-
Fast Web View:
-
Preparing document for printing…
0%