Automatic Size Determination of Codifications for the Vocabularies of the RECONTRA Connectionist Translator*

  • Authors:
  • Gustavo A. Casañ;M. Asunción

  • Affiliations:
  • Dept. Ingeniería y Ciencia de los Computadores, Universidad Jaume I, Castellón, Spain;Dept. Ingeniería y Ciencia de los Computadores, Universidad Jaume I, Castellón, Spain

  • Venue:
  • IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
  • Year:
  • 2009

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Abstract

Previous work has recently shown that adequate and compact codifications of the lexicons involved in text-to-text MT tasks can be automatically created. The method extracted these representations from perceptrons with output contexts. They were later tested on a simple neural translator called RECONTRA. However, the size of the codifications was determined by hand using try-and-error mechanisms. This paper presents a method for automatically obtain such sizes by pruning the units of the hidden-layer of the perceptron encoder.