基于神经网络的捷克语TTS系统句子边界检测

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI:10.1109/ISSPA.2003.1224860

J. Romportl, D. Tihelka, J. Matoušek

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引用次数: 6

摘要

本文提出了神经网络在判断捷克语文本中某个标点符号是否为句尾问题上的应用结果。讨论了相关参数提取方法的可能性，并将基于神经网络的方法与贝叶斯分类器和启发式分类器进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sentence boundary detection in Czech TTS system using neural networks

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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来源期刊

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.

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