A linguistic treatment for automatic external plagiarism detection

作者：

Highlights：

• We proposed a specialized method for external plagiarism detection.

• It integrates semantic and syntactic information to capture the meaning of passages.

• It used SRL method to detect passive and active sentences.

• It detects copied text, paraphrasing, transformation of sentences and changing of word.

• Results displayed that it is to be preferred over PAN-11systems and other methods.

摘要

•We proposed a specialized method for external plagiarism detection.•It integrates semantic and syntactic information to capture the meaning of passages.•It used SRL method to detect passive and active sentences.•It detects copied text, paraphrasing, transformation of sentences and changing of word.•Results displayed that it is to be preferred over PAN-11systems and other methods.

论文关键词：Paraphrase recognition,Syntax-semantic,Extrinsic plagiarism,Semantic analysis

论文评审过程：Received 8 March 2017, Revised 7 August 2017, Accepted 8 August 2017, Available online 9 August 2017, Version of Record 22 September 2017.

论文官网地址：https://doi.org/10.1016/j.knosys.2017.08.008