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20 October 2022 Tibetan place name recognition method based on multi-feature fusion
Cairang Yun, Yangji Jia
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Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 1245139 (2022) https://doi.org/10.1117/12.2656829
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
Place names are also an important part of Tibetan unregistered words. Place name recognition is the basic work of Tibetan natural language processing and a key issue in machine translation, information extraction, and text classification. Aiming at the characteristics and difficulties of Tibetan place name recognition, this paper analyzes the internal words and external boundaries of Tibetan place names, and designs four features, including vocabulary, label, combination and dictionary, and proposes a multi-feature fusion Tibetan place name recognition method. The accuracy of this method on the test set of this paper reaches 92.26%, and the F value reaches 88.96%, indicating that the recognition method proposed in this paper is effective.
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Cairang Yun and Yangji Jia "Tibetan place name recognition method based on multi-feature fusion", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 1245139 (20 October 2022); https://doi.org/10.1117/12.2656829
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KEYWORDS
Data modeling
Neural networks
Information technology
Statistical analysis
Statistical modeling
Machine learning
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