Feature Selection with Exception Handling - An Example from Phonology

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Abstract

The goal in this paper is to show how the classification of phonetic features to phonemes can be acquired. This classificational process is modeled by a supervised feature selection method, based on adaptive distance measures. Exception handling is incorporated into a learned distance function by pointwise additions of Boolean functions for individual pattern combinations. An important result is the differentiation of rules and exceptions during learning.

Available Versions of this Item

• Feature Selection with Exception Handling - An Example from Phonology. (deposited 08 May 2001)
  • Feature Selection with Exception Handling - An Example from Phonology. (deposited 09 Nov 2012 19:35) [Currently Displayed]