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	Multi-level linguistic knowledge based Chinese grapheme-to-Phoneme conversion
	Liu, Yi ; Chen, Xiaojun ; Gong, Caixia ; Wu, Xihong
	2013
英文摘要	This paper proposes a novel method integrating multi-level linguistic knowledge for Chinese grapheme-to-phoneme(G2P) conversion. Pronunciation prediction of non-standard words(NSWs) and disambiguation of polyphonic characters are two important issues in Chinese grapheme-to-phoneme conversion. Considering effect of linguistic knowledge, multi-level linguistic cues, including word form, Part-of-Speech (POS), named entity, collocation and syntactic structure, are extracted under a unified syntactic parsing framework and integrated by maximum entropy approach to disambiguate polyphonic characters. Besides, the text normalization is incorporated in this framework to help predict pronunciation of non-standard words. Experiment results show that the proposed method can improve the performance from 95.64% to 99.23%. ? 2013 Springer-Verlag Berlin Heidelberg.; EI; 0
语种	英语
DOI标识	10.1007/978-3-642-42057-3-61
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294451]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liu, Yi,Chen, Xiaojun,Gong, Caixia,et al. Multi-level linguistic knowledge based Chinese grapheme-to-Phoneme conversion. 2013-01-01.

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