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Sentence boundary detection in Czech TTS system using neural networks

Citace: [] ROMPORTL, J., TIHELKA, D., MATOUŠEK, J. Sentence boundary detection in Czech TTS system using neural networks. In Seventh International Symposium on Signal Processing and its Applications. Paris: IEEE, 2003. s. 247-250. ISBN: 0-7803-7946-2
Druh: STAŤ VE SBORNÍKU
Jazyk publikace: eng
Anglický název: Sentence boundary detection in Czech TTS system using neural networks
Rok vydání: 2003
Místo konání: Paris
Název zdroje: IEEE
Autoři: Jan Romportl , Daniel Tihelka , Jindřich Matoušek
Abstrakt EN: This paper proposes results of an application of a neural network on the problem of deciding whether a certain punctuation mark in Czech text is or is not the end of a sentence. It also discusses possibilities of using methods for relevant parameters extraction and compares a neural network based method with a Bayes classifier and a heuristic classifier.
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