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        <title>Learning to Pronounce Chinese Without a Pronunciation Dictionary</title>
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    <abstract>We demonstrate a program that learns to pronounce Chinese text in Mandarin, without a pronunciation dictionary. From non-parallel streams of Chinese characters and Chinese pinyin syllables, it establishes a many-to-many mapping between characters and pronunciations. Using unsupervised methods, the program effectively deciphers writing into speech. Its token-level character-to-syllable accuracy is 89%, which significantly exceeds the 22% accuracy of prior work.</abstract>
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%0 Conference Proceedings
%T Learning to Pronounce Chinese Without a Pronunciation Dictionary
%A Chu, Christopher
%A Fang, Scot
%A Knight, Kevin
%Y Webber, Bonnie
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F chu-etal-2020-learning
%X We demonstrate a program that learns to pronounce Chinese text in Mandarin, without a pronunciation dictionary. From non-parallel streams of Chinese characters and Chinese pinyin syllables, it establishes a many-to-many mapping between characters and pronunciations. Using unsupervised methods, the program effectively deciphers writing into speech. Its token-level character-to-syllable accuracy is 89%, which significantly exceeds the 22% accuracy of prior work.
%R 10.18653/v1/2020.emnlp-main.458
%U https://aclanthology.org/2020.emnlp-main.458
%U https://doi.org/10.18653/v1/2020.emnlp-main.458
%P 5687-5693

Markdown (Informal)

[Learning to Pronounce Chinese Without a Pronunciation Dictionary](https://aclanthology.org/2020.emnlp-main.458) (Chu et al., EMNLP 2020)

• Learning to Pronounce Chinese Without a Pronunciation Dictionary (Chu et al., EMNLP 2020)

ACL

• Christopher Chu, Scot Fang, and Kevin Knight. 2020. Learning to Pronounce Chinese Without a Pronunciation Dictionary. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 5687–5693, Online. Association for Computational Linguistics.