A Bi-directional LSTM Approach for Polyphone Disambiguation in Mandarin Chinese
一种双向LSTM方法用于普通话中的多音字消歧 摘要： 普通话中的多音字歧义消除旨在为多音字从多个候选项中获取正确的发音。 它是人类语言技术（如文本到语音合成）的重要组成部分。 由于大多数多音字的发音可以根据文本中的上下文轻松决定，因此在本文中，我们将多音字消歧问题作为序列任务来解决。 具体而言，我们建议使用双向长短期记忆（BLSTM）神经网络来编码过去和未来对字符序列的观察作为其输入并预测发音。
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相关文章
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