Text-to-pinyin conversion based on contextual knowledge and D-tree for Mandarin

Sen Zhang 1 Yves Laprie 1
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we discuss the technologies for text-to-Pinyin conversion based on context knowledge and D-tree for Mandarin Chinese. The local and long-distance context knowledge were considered and exploited. The context knowledge was represented by regular expressions. D-trees were built based on the regular expressions. The experimental results show that the approach using context knowledge and D-tree is an efficient solution to implement Chinese text-to-Pinyin conversion.
Mots-clés : synthèse à partir du texte text-to-speech conversion mandarin
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Conference papers
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https://hal.inria.fr/inria-00107717
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Submitted on : Thursday, October 19, 2006 - 9:06:57 AM
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Sen Zhang, Yves Laprie. Text-to-pinyin conversion based on contextual knowledge and D-tree for Mandarin. IEEE International Conference on Natural Language Processing and Knowledge Engineering 2003 - NLP-KE'2003, 2003, Beijing, China, 6 p. ⟨inria-00107717⟩

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