The state of the art in Thai language processing
Authors: 
Virach Sornlertlamvanich, Tanapong Potipiti, Chai Wutiwiwatchai, Pradit MittrapiyanurukAuthors Info & Claims
Virach Sornlertlamvanich, Tanapong Potipiti, Chai Wutiwiwatchai, Pradit MittrapiyanurukAuthors Info & ClaimsPages 1 - 2
Abstract
This paper reviews the current state of technology and research progress in the Thai language processing. It resumes the characteristics of the Thai language and the approaches to overcome the difficulties in each processing task.
References
[1]
V. Sornlertlamvanich, T. Potipiti and T. Charoenporn. Automatic Corpus-Based Thai Word Extraction with the C4.5 Learning Algorithm. In forthcoming Proceedings of COLING 2000.
[2]
V. Sornlertlamvanich. Word Segmentation for Thai in Machine Translation System Machine Translation. National Electronics and Computer Technology Center, Bangkok. pp. 50--56, 1993. (in Thai).
[3]
A. Kawtrakul, S. Kumtanode, T. Jamjunya and A. Jewriyavech. Lexibase Model for Writing Production Assistant System. In Proceedings of the Symposium on Natural Language Processing in Thailand, 1995.
[4]
S. Meknavin, P. Charoenpornsawat and B. Kijsirikul. Featured Based Thai Word Segmentation. In Proceedings of Natural Language Processing Pacific Rim Symposium, pp. 41--46, 1997.
[5]
A. Kawtrakul, C. Thumkanon, P. Varasarai and M. Suktarachan. Autmatic Thai Unknown Word Recognition. In Proceedings of Natural Language Processing Pacific Rim Symposium, pp. 341--347, 1997.
[6]
P. Mitrapiyanurak and V. Sornlertlamvanich. The Automatic Thai Sentence Extraction. In Proceedings of the Fourth Symposium on Natural Language Processing, pp. 23--28, May 2000.
[7]
K. Naruedomkul and N. Cercone. Generate and Repair Machine Translation. In Proceedings of the Fourth Symposium on Natural Language Processing, pp. 63--79, May 2000.
[8]
K. Chancharoen and B. Sirinaowakul. English Thai Machine Translation Using Sentence Pattern Mapping. In Proceedings of the Fourth Symposium on Natural Language Processing, pp. 29--36, May 2000.
[9]
C. Tanprasert and T. Koanantakool. Thai OCR: A Neural Network Application. In Proceedings of IEEE Region Ten Conference, vol. 1, pp. 90--95, November 1996.
[10]
I. Methasate, S. Jitapankul, K. Kiratiratanaphung and W. Unsiam. Fuzzy Feature Extraction for Thai Handwritten Character Recognition. In Proceedings of the Forth Symposium on Natural Language Processing, pp. 136--141, May 2000.
[11]
P. Phokharatkul and C. Kimpan. Handwritten Thai Character Recognition using Fourior Descriptors and Genetic Neural Networks. In Proceedings of the Fourth Symposium on Natural Language Processing, pp. 108--123, May 2000.
[12]
S. Madarasmi and P. Lekhachaiworakul. Customizable Online Thai-English Handwriting Recognition. In Proceedings of the Forth Symposium on Natural Language Processing, pp. 142--153, May 2000.
[13]
J. T. Gandour, S. Potisuk and S. Dechongkit. Tonal Coarticulation in Thai, Journal of Phonetics, vol 22, pp. 477--492, 1994.
[14]
S. Luksaneeyanawin, et al. A Thai Text-to-Speech System. In Proceedings of Fourth NECTEC Conference, pp. 65--78, 1992. (in Thai).
[15]
P. Mittrapiyanuruk, C. Hansakunbuntheung, V. Tesprasit and V. Sornlertlamvanich. Improving Naturalness of Thai Text-to-Speech Synthesis by Prosodic Rule. In forthcoming Proceedings of ICSLP2000.
[16]
S. Jitapunkul, S. Luksaneeyanawin, V. Ahkuputra, C. Wuti-wiwatchai. Recent Advances of Thai Speech Recognition in Thailand. In Proceedings of IEEE Asia-Pacific conference on Circuits and Systems, pp. 173--176, 1998.
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Published: 03 October 2000
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