Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism-Reference-Cited by-同舟云学术

Phonologically Aware BiLSTM Model for Mongolian Phrase Break Prediction with Attention Mechanism

Published:2018 Issue: Volume: Page:217-231
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Liu Rui,Bao FeiLong,Gao Guanglai,Zhang Hui,Wang Yonghe

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-97304-3_17

Reference37 articles.

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3. Nie, X., Wang, Z.: Automatic phrase break prediction in Chinese sentences. J. Chin. Inf. Process. 17(4), 39–44 (2003)

4. Li, J.F., Hu, G.P., Wang, R.: Chinese prosody phrase break prediction based on maximum entropy model. In: 8th Proceedings of INTERSPEECH, Jeju Island, Korea, pp. 729–732 (2004)

5. Qian, Y., Wu, Z., Ma, X., Soong, F.: Automatic prosody prediction and detection with conditional random field (CRF) models. In: 7th Proceedings of ISCSLP, Tainan, Taiwan, pp. 135–138 (2010)

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