Abstract
In this paper, aiming at the problems including but not limited to Tibetan sorting, Tibetan syllable component attribute statistics, Tibetan speech recognition in the application field of component recognition of Tibetan syllable, we propose a new algorithm for component decomposition and type recognition of Tibetan syllable based on TSRM (Tibetan Syllable Rule Model). Experimental results on mixed-arranged complex Tibetan texts show that our newly proposed algorithm can achieve a score around 90% both accuracy rate and recall rate for Component Decomposition and Type Recognition of Tibetan Syllable.
Supported by National Science Foundation of China (No. 61751216), Key Projects of National Key Research and Develop Plan (No. 2017YFB140220), National Team and Key Laboratory Construction Project for Computer and Tibetan Information (TEF[2018[81).
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Zhu, J., Wang, S., Wu, Y., Guan, M., Feng, Y. (2019). A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable. In: Tang, J., Kan, MY., Zhao, D., Li, S., Zan, H. (eds) Natural Language Processing and Chinese Computing. NLPCC 2019. Lecture Notes in Computer Science(), vol 11839. Springer, Cham. https://doi.org/10.1007/978-3-030-32236-6_34
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DOI: https://doi.org/10.1007/978-3-030-32236-6_34
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