Fast Plagiarism Detection by Sentence Hashing

被引：0

作者：

Ceglarek, Dariusz ^{[1
]}

Haniewicz, Konstanty ^{[2
]}

机构：

[1] Poznan Sch Banking, Poznan, Poland

[2] Poznan Univ Econ, Poznan, Poland

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT II | 2012年 / 7268卷

关键词：

plagiarism; plagiarism detection; longest common subsequence; semantic compression; SEIPro2S; SEMANTIC COMPRESSION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work presents a Sentence Hashing Algorithm for Plagiarism Detection - SHAPD. To present a user with the best results the algorithm makes use of special trait of the written texts - their natural sentence fragmentation, later employing a set of special techniques for text representation. Results obtained demonstrate that the algorithm delivers solution faster than the alternatives. Its algorithmic complexity is logarithmic, thus its performance is better than most algorithms using dynamic programming used to find the longest common subsequence.

引用

页码：30 / 37

页数：8

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