Research of Ch-En Cross-Lingual Plagiarism Detection  Based on Translation Features

Abstract

Abstract: Research on anti-plagiarism detection of scientific papers in single language has acquired relevance and a number of practical systems have been developed. However, the relevant study and achievement are relatively few in cross-lingual anti-plagiarism. Targeting at scientific papers, this paper discussed the implementation of Chinese-English cross-lingual plagiarism detection. The paper locates a set of translation features by digging internal laws of Chinese translation. Through these features, papers which are suspected of plagiarism can be identified by the decision tree algorithm. In open test, its recalling rate-achieves 88.68% and the precision rate 79.17%.

Key words: paper plagiarism, translation feature, cross-language, decision tree

CLC Number:

TP 391.1

YUAN Song-Xiang, LIU Gong-Shen. Research of Ch-En Cross-Lingual Plagiarism Detection Based on Translation Features[J]. Journal of Shanghai Jiaotong University, 2012, 46(06): 989-993.

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Research of Ch-En Cross-Lingual Plagiarism Detection Based on Translation Features

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