Chinese Word Segmentation Based on Maximum Entropy
Author:
Affiliation:
1. Hubei Provincial Key Laboratory of Intelligent Robots, Wuhan University of Technology, Wuhan, China
Publisher
ACM Press
Reference14 articles.
1. Huang, C. N., & Zhao, H. (2007). Chinese word segmentation: a decade review. Journal of Chinese Information Processing, 21(3), 8--19.
2. Xue, N., & Converse, S. P. (2002). Combining classifiers for Chinese Word Segmentation. First Sighan Workshop Attached with Coling, 57--63.
3. Han, L. F., Wong, D. F., Chao, L. S., He, L., Zhu, L., & Li, S.. (0). Han L F, Wong D F, Chao L S, et al. A Study of Chinese Word Segmentation Based on the Characteristics of Chinese.
4. Zhao, H., Huang, C. N., Li, M., & Lu, B. L.. (2010). A unified character-based tagging framework for Chinese Word Segmentation. Acm Transactions on Asian Language Information Processing, 9(2), 1--32.
5. Zhi Yuan. (2018). An Adaptive Chinese Word Segmentation Method. Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018).
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