Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [3 references]  Display  Hide  Download
Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Thursday, October 19, 2006 - 9:06:57 AM
Last modification on : Friday, February 26, 2021 - 3:28:05 PM
Long-term archiving on: : Wednesday, March 29, 2017 - 1:14:20 PM


  • HAL Id : inria-00107717, version 1



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⟩



Record views


Files downloads