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Automated grapheme-to-phoneme conversion system for Romanian

机译:罗马尼亚自动化石墨对音素转换系统

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The scope of this paper is to present a novel automated grapheme-to-phoneme conversion system for the Romanian language, based on artificial neural networks together with some transcription results based on a 1.004 words hand built pronunciations dictionary. Using this letter-to-sound transcription system we have also built a large pronunciation dictionary for Romanian language by transcribing the near 140.000 base form entries from the DEXOnline dictionary.
机译:本文的范围是为罗马尼亚语提供一种新的自动化石墨对音素转换系统,基于人工神经网络以及一些转录结果,基于1.004字的手工构建的发音字典。 使用此字母到声音转录系统,我们还通过转录Dexonline字典的近140.000个基本表单条目为罗马尼亚语构建了一个大的发音字典。

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