This paper describes a trainable method for generating letter to sound rules for the Greek language, for producing the pronunciation of out-of-vocabulary words. Several approaches have been adopted over the years for grapheme-to-phoneme conversion, such as hand-seeded rules, finite state transducers, neural networks, HMMs etc, nevertheless it has been proved that the most reliable method is a rule-based one. Our approach is based on a semiautomatically pre-transcribed lexicon, from which we derived rules for automatic transcription. The efficiency and robustness of our method are proved by experiments on out-of-vocabulary words which resulted in over than 98% accuracy on a word-base criterion.
Cite as: Chalamandaris, A., Raptis, S., Tsiakoulis, P. (2005) Rule-based grapheme-to-phoneme method for the Greek. Proc. Interspeech 2005, 2937-2940, doi: 10.21437/Interspeech.2005-775
@inproceedings{chalamandaris05_interspeech,
author={A. Chalamandaris and S. Raptis and Pirros Tsiakoulis},
title={{Rule-based grapheme-to-phoneme method for the Greek}},
year=2005,
booktitle={Proc. Interspeech 2005},
pages={2937--2940},
doi={10.21437/Interspeech.2005-775}
}