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Inductive Learning of Pronunciation Rules by Hypothesis Testing and Correction

S. Oakey, R. C. Cawthorn
IJCAI 1981 pp. 109-114
/ijcai/1981/oakey1981ijcai-inductive/

Abstract

This paper describes a system that learns the ru les o f pronunciat ion i nduc t i ve l y. I t begins wi th a set of 26 ru les for s i n g l e- l e t t e r pronunc ia t ion. Ind iv idua l words are presented to i t, and the system uses i t s ru le set to hypothesise a pronunc ia t ion. This is compared wi th a d ic t ionary pronunciat ion, and if any part of the pronunciat ion is incor rec t new ru les are created to handle the word as an exception cond i t ion. These ru les are checked for s i m i l a r i t y wi th others already produced, and where su i tab le a "genera l " rule is produced to deal wi th two or more created r u l e s. The e f fec t is to produce ru les that are more and more general, and these approach the general pronunciat ion ru le sets that have been produced manually by other workers. I

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Text

Oakey and Cawthorn. "Inductive Learning of Pronunciation Rules by Hypothesis Testing and Correction." International Joint Conference on Artificial Intelligence, 1981.

Markdown

[Oakey and Cawthorn. "Inductive Learning of Pronunciation Rules by Hypothesis Testing and Correction." International Joint Conference on Artificial Intelligence, 1981.](https://mlanthology.org/ijcai/1981/oakey1981ijcai-inductive/)

BibTeX

@inproceedings{oakey1981ijcai-inductive,
  title     = {{Inductive Learning of Pronunciation Rules by Hypothesis Testing and Correction}},
  author    = {Oakey, S. and Cawthorn, R. C.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1981},
  pages     = {109-114},
  url       = {https://mlanthology.org/ijcai/1981/oakey1981ijcai-inductive/}
}