Accession Number:

ADA446057

Title:

Discovering Faithful `Wickelfeature' Representations in a Connectionist Network

Descriptive Note:

Research paper

Corporate Author:

COLORADO UNIV AT BOULDER DEPT OF COMPUTER SCIENCE

Personal Author(s):

Report Date:

1990-03-19

Pagination or Media Count:

15.0

Abstract:

A challenging problem for connectionist models is the representation of varying-length sequences e.g., the sequence of phonemes that compose a word. One representation that has been proposed involves encoding each sequence element with respect to its local context this is known as a Wickelfeature representation. Handcrafted Wickelfeature representations suffer from a number of limitations, as pointed out by Pinker and Prince 1988. However, these limitations can be avoided if the representation is constructed with a priori knowledge of the set of possible sequences. This paper proposes a specialized connectionist network architecture and learning algorithm for the discovery of faithful Wickelfeature representations -- ones that do not lose critical information about the sequence to be encoded. The architecture is applied to a simplified version of Rumelhart and MeClellands 1986 verb past-tense model.

Subject Categories:

  • Linguistics
  • Psychology
  • Computer Programming and Software
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE