Research on Paper Intelligent Plagiarism Detection Method Based on Idea Tendency

Author:

Liu Gang1,Zhang Hanmo1,Liu Wangyang2,Cao Yang2,Fu Weiping1

Affiliation:

1. College of Computer Science and Technology, Harbin Engineering University, Harbin, China

2. CETC big data research institute company limited, GuiYang, China

Funder

the Humanities and Social Sciences Research Planning Fund Project in Ministry of Education

the Special Fund Project of Basic Scientific Research Business fee in Central Colleges and Universities

Publisher

ACM

Reference13 articles.

1. Intelligent plagiarism detection mechanism using semantic technology: A different approach;Agarwal Juhi;ICACCI

2. A linguistic treatment for automatic external plagiarism detection

3. Intrinsic Plagiarism Detection Using Latent Semantic Indexing and Stylometry[C]// Sixth International Conference on Developments;Alsallal;Esystems Engineering. IEEE

4. Rahman R. Information Theoretical and Statistical Features for Intrinsic Plagiarism Detection[C]// Meeting of the Special Interest Group on Discourse and Dialogue. 2017:144--148 Rahman R. Information Theoretical and Statistical Features for Intrinsic Plagiarism Detection[C]// Meeting of the Special Interest Group on Discourse and Dialogue. 2017:144--148

5. Anak Agung Putri Ratna Prima Dewi Purnamasari Boma Anantasatya Adhi F. Astha Ekadiyanto Muhammad Salman Mardiyah Mardiyah Darien Jonathan Winata:Cross-Language Plagiarism Detection System Using Latent Semantic Analysis and Learning Vector Quantization. Algorithms 2017 10(2): 69 Anak Agung Putri Ratna Prima Dewi Purnamasari Boma Anantasatya Adhi F. Astha Ekadiyanto Muhammad Salman Mardiyah Mardiyah Darien Jonathan Winata:Cross-Language Plagiarism Detection System Using Latent Semantic Analysis and Learning Vector Quantization. Algorithms 2017 10(2): 69

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