Mining atomic Chinese abbreviations with a probabilistic single character recovery model

Language Resources and Evaluation

Volumn 40, Issue 3-4, 2006, Pages 367-374

  Chang, Jing Shin ^a   Teng, Wei Lun ^a  

^a NATIONAL CHI NAN UNIVERSITY   (Taiwan)

Author keywords

Abbreviation; Atomic abbreviation; Single character recovery model

Indexed keywords

EID: 35548985014     PISSN: 1574020X     EISSN: 15728412     Source Type: Journal    
DOI: 10.1007/s10579-007-9026-8     Document Type: Article

References (10)

1. Chang, J.-S., & Lai, Y.-T. (2004). A preliminary study on probabilistic models for Chinese abbreviations. Proceedings of the Third SIGHAN workshop on Chinese language learning (pp. 9-16). ACL-2004, Barcelona, Spain.
2. Chiang, T.-H., Chang, J.-S., Lin, M.-Y., & Su, K.-Y. (1992). Statistical models for word segmentation and unknown word resolution. Proceedings of ROCLING-V (pp. 123-146). Taipei, Taiwan, ROC.
3. Chiang, T.-H., Chang, J.-S., Lin, M.-Y., & Su, K.-Y. (1996). Statistical word segmentation. In C.-R. Huang, K.-J. Chen, & B. K. T'sou (Eds.), Journal of Chinese Linguistics, Monograph Series No. 9, Readings in Chinese Natural Language Processing (pp. 147-173). University of California, Berkeley.
4. CKIP (2001). Academia Sinica word segmentation corpus, ASWSC-2001. Chinese Knowledge Information Processing Group, Academia Sinica, Taipei, Taiwan, ROC. From http://www.aclclp.org.tw/.
5. Huang, C.-R., Ahrens, K., & Chen, K.-J. (1998). A data-driven approach to the mental lexicon: Two studies on Chinese corpus linguistics. Bulletin of the Institute of History and Philology, 69(1), 151-179.
6. Katz, S. M. (1987). Estimation of probabilities from sparse data for the language model component of a speech recognizer. IEEE Trans. ASSP-35(3).
7. Lai, Y.-T. (2003). A probabilistic model for Chinese abbreviations. Master Thesis, CS&IE, National Chi-Nan University, Taiwan, ROC.
8. Lin, M.-Y., Chiang, T.-H. & Su, K.-Y. (1993). A preliminary study on unknown word problem in Chinese word segmentation. Proceedings of ROCLING VI (pp. 119-142).
9. Rabiner, L., & Juang, B.-H. (1993). Fundamentals of speech recognition, Prentice-Hall.
10. Teng, W.-L. (2006). Automatic models for mining atomic Chinese abbreviations. Master Thesis, CS&IE, National Chi-Nan University, Taiwan, ROC.