System Development & Application
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 9
2722-2725,2729

Uyghur text similarity detection method using N-gram and semantic analysis

Zhang Ying1
Yasen Aizezi1
Wu Shunxiang2
1. Dept. of Information Security Engineering, Xinjiang Police College, Urumchi 830011, China
2. Dept. of Automation, Xiamen University, Xiamen Fujian 361005, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0158

Abstract

In order to detect similarities between Uighur texts, this paper proposed a similarity detection method based on N-gram and semantic analysis. Firstly, it used N-gram statistical model to obtain the words based on Uyghur word features, and constructed the word-text relation matrix according to the appearance frequency of the words in the text. Then, it adopted an LSA to obtain the hidden association between the words and their texts, so as to solve the problem of vague semantic meaning in Uyghur language and obtain exact similarity. Experiments on plagiarized text sets containing reorganization and synonym replacement show that this method can detect the similarity accurately and effectively.

Foundation Support

国家自然科学基金资助项目(61762086)
新疆维吾尔自治区高校科研计划立项项目(XJEDU2016S090)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0158
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: System Development & Application
Pages: 2722-2725,2729
Serial Number: 1001-3695(2019)09-035-2722-04

Publish History

[2019-09-05] Printed Article

Cite This Article

张莹, 亚森·艾则孜, 吴顺祥. 利用N-gram和语义分析的维吾尔语文本相似性检测方法 [J]. 计算机应用研究, 2019, 36 (9): 2722-2725,2729. (Zhang Ying, Yasen Aizezi, Wu Shunxiang. Uyghur text similarity detection method using N-gram and semantic analysis [J]. Application Research of Computers, 2019, 36 (9): 2722-2725,2729. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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