A Bi-directional LSTM Approach for Polyphone Disambiguation in Mandarin Chinese
一種雙向LSTM方法用於普通話中的多音字消歧 摘要： 普通話中的多音字歧義消除旨在爲多音字從多個候選項中獲取正確的發音。 它是人類語言技術（如文本到語音合成）的重要組成部分。 由於大多數多音字的發音可以根據文本中的上下文輕鬆決定，因此在本文中，我們將多音字消歧問題作爲序列任務來解決。 具體而言，我們建議使用雙向長短期記憶（BLSTM）神經網絡來編碼過去和未來對字符序列的觀察作爲其輸入並預測發音。
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