Novel-word pronunciation: a cross-language study
Speech Communication - Speech science and technology: a selection from the papers presented at the Fourth International Conference in Speech Science and Technology (SST-92)
A multistrategy approach to improving pronunciation by analogy
Computational Linguistics
Paradigmatic cascades: a linguistically sound model of pronunciation by analogy
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Solving analogies on words: an algorithm
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
A probabilistic approach to pronunciation by analogy
Computer Speech and Language
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Pronunciation-by-analogy (PbA) is an emerging technique for text-phoneme conversion based on a psychological model of reading aloud. This paper explores the impact of certain basic implementational choices on the performance of various PbA models. These have been tested on their ability to pronounce sets of short pseudowords previously used in similar studies, as well as lexical words temporarily removed from the dictionary. Best results of 85.7% and 67.9% words correct are obtained for the pseudowords and lexical words respectively, casting doubt on certain previous-reported performance figures in the literature.