Open Access
| Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 5 | |
| Section | Session 1: Robotics | |
| DOI | https://doi.org/10.1051/itmconf/20171201008 | |
| Published online | 05 September 2017 | |
- LIU Huidan Rui Jianwu, Wu Jian. Encoding Detection and Conversion of Tibetan Web Pages [C] // 25th Anniversary Conference of Chinese Information Society of China. [Google Scholar]
- Wu Jian, Rui Jianwu, Liu Huidan. Tibetan web page and its code identification method: CN, CN 101055593 A[P]. 2007. [Google Scholar]
- Chen YZ, Li BL, Yu SW. The Design and Implementation of a Tibetan Word Segmentation System[J]. Journal of Chinese Information Processing, 2003. [Google Scholar]
- Cai Z J, Cai R. Design of a Tibetan Word Segmentation System[J]. Computer Engineering & Science, 2011, 33(5):151–154. [Google Scholar]
- Liu H, Minghua N, Zhao W, et al. SegT:A Practical Tibetan Word Segmentation System[J]. Journal of Chinese Information Processing, 2012, 26(1):97–103. [Google Scholar]
- Shi XD, Lu YJ. A Tibetan Segmentation System—Yangjin[J]. Journal of Chinese Information Processing, 2011, 25(4):54–56. [Google Scholar]
- Li YC, Jiang J, Jia YJ, Yu HZ. TIP-LAS: TIP-LAS: An Open Source Toolkit for Tibetan Word Segmentation and POS Tagging [J]. Journal of Chinese Information Processing, 2015, 29(6):203–207. [Google Scholar]
- Li YC, Jia YJ, Zong CQ, Yu HZl. Research and Implementation of Tibetan Automatic Word Segmentation Based on Conditional Random Field[J]. Journal of Chinese Information Processing, 2013, 27(4):52–58. [Google Scholar]
- Sun Z Wang. Overview on the Advance of the Research on Named Entity Recognition[J]. New Technology of Library & Information Service, 2010. [Google Scholar]
- Yu HZ, Jiang T, Ma N.Named Entity Recognition for Tibetan Texts[J].Lecture Notes in Engineering and Computer Science,2010,2180. [Google Scholar]
- Dou R, Jia YJ, Huang W.Automatic recognition of tibetan name with the combination of statistics and regular. Journal of Changchun Institute of Technology (Social Science Edition), 11 (2) 113–115.,2010.2:113–115. [Google Scholar]
- Sun Y, Yan X, Zhao X, et al. Research on automatic recognition of Tibetan personal names based on multi-features[C]// International Conference on Natural Language Processing and Knowledge Engineering. IEEE, 2010:1–5. [Google Scholar]
- Jia Y, Yachao L I, Zong C, et al. A Hybrid Approach to Tibetan Person Name Identification by Maximum Entropy Model and Conditional Random Fields[J]. Journal of Chinese Information Processing, 2014. [Google Scholar]
- Hua Q, Jiang W, Zhao H, et al. Tibetan name entity recognition with perceptron model[J]. Computer Engineering & Applications, 2014. [Google Scholar]
- Kang C, Long C, Jiang D. Tibetan names recognition research based on CRF[J]. Computer Engineering and Applications, 2015. [Google Scholar]
- Zhu J, Li T, Liu S. Research on Tibetan name recognition technology under CRF[J]. Journal of Nanjing University, 2016. [Google Scholar]
- Hänig C, Bordag S, Thomas S. Modular classifier ensemble architecture for named entity recognition on low resource systems[C]//Workshop Proceedings of the 12th Edition of the KONVENS Conference. 2014: 113–116. [Google Scholar]
- Das A, Garain U. CRF-based Named Entity Recognition @ICON 2013[J]. Computer Science, 2014 [Google Scholar]
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