On phoneme-to-character conversion systems in Chinese processing

Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an

Volumn 22, Issue 5, 1999, Pages 573-579

  Hsu, Wen Lian ^a   Chen, Yi Shiou ^a  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

Author keywords

Conversion; Natural language understanding; Phoneme to character

Indexed keywords

COMPUTATIONAL LINGUISTICS; DYNAMIC PROGRAMMING; HUMAN COMPUTER INTERACTION; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE REPRESENTATION; MARKOV PROCESSES; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH RECOGNITION; WORD PROCESSING;

CHINESE PROCESSING; PHONEME TO CHARACTER SYSTEM;

CHARACTER SETS;

EID: 0033339893     PISSN: 02533839     EISSN: 21587299     Source Type: Journal    
DOI: 10.1080/02533839.1999.9670495     Document Type: Article

References (20)

1. Chang, J.S., Chern, S.D., and Chen, C.D., “Conversion of Phonemic-Input to Chinese Text Through Constraint Satisfaction,”. Proceedings of ICCPOL'91. pp. 30–36.
2. Chen, K.J., 1993. “A Mathematical Model for Chinese Input,”. Computer Processing of Chinese and Oriental Languages, 7:75–84.
3. Chen, S.I, Chang, C.T, Kuo, J.J., and Hsieh, M. S., “The Continuous Conversion Algorithm of Chinese Character's Phonetic Symbols to Chinese Characters,”. Proceedings of National Computer Symposium. Taipei. pp. 337–342.
4. Dong, Z.D., 1999. “How-net,”. http://www.how-net.com.
5. Fan, C.K., and Tsai, W.H., “Disambiguation of Phonetic Chinese Input by Relaxation-based Word Identification,”. Proceedings of ROCLING I. pp. 145–160.
6. Gie, T.H., 1991. “A Phonetic Input System for Chinese Characters Using a Word Dictionary and Statistics,”. National Taiwan University. Master Thesis
7. Gu, H.Y., Tseng, C.Y., and Lee, L.S., “Markov Modeling of Chinese Language for Linguistically Decoding the Mandarin Phonetic Input. Proceedings of National Computer Symposium. Taipei. pp. 759–767.
8. Ho, T.H., Yang, K.C., Lin, J.S., and Lee, L.S., 1997. “Integrating Long-Distance Language Modeling to Phoneme-to-Text Conversion,”. ROCLING X,:287–299.
9. Hsieh, M.L., Lo, T.T., and Lin, C.H., “Grammatical Approach to Converting Phonetic Symbols into Characters,”. Proceedings of National Computer Symposium. Taipei. pp. 453–461.
10. Hsu, W.L., 1995. “Chinese parsing in a phoneme-to-character conversion system based on semantic pattern matching,”. International Journal on Computer Processing of Chinese and Oriental Languages, 40:227–236.
11. Hsu, W.L., Chen, Y.S., and Wang, Y.K., “A Context Sensitive Model for Concept Understanding”. Proceedings of ITALLC'98. pp. 161–169.
12. Hsu, W.L., Shih, W.K., and Yeh, P.H., “Object Oriented Concept Representation,”. Proceedings of ICCPOL'95.
13. Hsu, W.L., and Chen, K.J., “The Semantic Analysis in GOING - An Intelligent Chinese Input System,”. Proceedings of the Second Joint Conference of Computational Linguistics. pp. 338–343. In Chinese
14. Kuo, J.J., “The Development of New Chinese Input Method - Chinese Word String Input Method,”. Proceedings of International Computer Symposium. Taipei.
15. Lua, K.T., and Gan, K.W., 1992. “A Touch-Typing Pinyin Input System,”. Computer Processing of Chinese and Oriental Languages, 6:85–94.
16. Minsky, M., 1975. “A Framework for Representing Kcnowledge”. In Psychology of Computer Vision, Edited by:Winston, P., New York:McGraw-ill.
17. Pong, M.C., and Zhang, Y.G., “An Input-Method Independent Model for Chinese Input and Exploiting the Knowledge of Chinese Natural Language for Postprocessing of Chinese Input,”. Proceedings of the Second Joint Conference of Computational Linguistics. pp. 344–349. In Chinese
18. Schank, R.C., 1972. Conceptual Dependency:A Theory of Natural Language Understanding. Cognitive Psychology, 3 (4)
19. Sproat, R., “An Application of Statistical Optimization with Dynamic Programming to Phonemic-Input-to-Character Conversion for Chinese,”. Proceedings of ROCLING III. pp. 379–390.
20. Wang, H.M., Ho, T.H., Yang, R.C., Shen, J.L., Bai, B.R., Hong, J.C., Chen, Yu, W.P., T.L. and Lee, L.S., 1997. “Complete Recognition of Continuous Mandarin Speech for Chines Language with Very Large Vocabulary Using Limited Training Data,”. IEEE Trans. on Speech and Audio Processing, 5:195–200.