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Learning pronunciation dictionaries: language complexity and word selection strategies

Published:04 June 2006Publication History

ABSTRACT

The speed with which pronunciation dictionaries can be bootstrapped depends on the efficiency of learning algorithms and on the ordering of words presented to the user. This paper presents an active-learning word selection strategy that is mindful of human limitations. Learning rates approach that of an oracle system that knows the final LTS rule set.

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  1. Learning pronunciation dictionaries: language complexity and word selection strategies

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    • Published in

      cover image DL Hosted proceedings
      HLT-NAACL '06: Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
      June 2006
      522 pages

      Publisher

      Association for Computational Linguistics

      United States

      Publication History

      • Published: 4 June 2006

      Qualifiers

      • Article

      Acceptance Rates

      HLT-NAACL '06 Paper Acceptance Rate62of257submissions,24%Overall Acceptance Rate240of768submissions,31%

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