A Hybrid Method for Vietnamese Text Normalization-Reference-Cited by-同舟云学术

A Hybrid Method for Vietnamese Text Normalization

Published:2019-06-28 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 3rd International Conference on Natural Language Processing and Information Retrieval
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Author:

Trang Nguyen Thi Thu¹,Bach Dang Xuan²,Tung Nguyen Xuan¹

Affiliation:

1. VBee Group, Hanoi University of Science and Technology, Hanoi, Vietnam

2. Hanoi University of Science and Technology, Hanoi, Vietnam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3342827.3342851

Reference16 articles.

1. Bahdanau D. Cho K. and Bengio Y. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. ArXiv. 1409 (Sep. 2014). Bahdanau D. Cho K. and Bengio Y. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. ArXiv. 1409 (Sep. 2014).

2. Dinh T. Lam Phi T. and Phan Đăng H. 2012. A STUDY OF TEXT NORMALIZATION IN VIETNAMESE FOR TEXT-TO-SPEECH SYSTEM. (Dec. 2012). Dinh T. Lam Phi T. and Phan Đăng H. 2012. A STUDY OF TEXT NORMALIZATION IN VIETNAMESE FOR TEXT-TO-SPEECH SYSTEM. (Dec. 2012).

3. Javaloy Bornás A. and García Mateos G. 2019. A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder. Javaloy Bornás A. and García Mateos G. 2019. A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder.

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