Learning to Pronounce Chinese Without a Pronunciation Dictionary

October 09, 2020 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Christopher Chu, Scot Fang, Kevin Knight arXiv ID 2010.04744 Category cs.CL: Computation & Language Citations 1 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 5 months ago
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.
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