Cross-linguistic electronic text plagiarism detection system and detection method

Abstract

The invention discloses a cross-linguistic electronic text plagiarism detection system and detection method. The cross-linguistic electronic text plagiarism detection method comprises the steps that paragraph division is carried out on an electronic text to be detected and a reference electronic text respectively to obtain a paragraph set to be detected and a reference paragraph set; concepts corresponding to terms in the paragraph set to be detected and the reference paragraph set are searched for according to a cross-linguistic body, and the paragraph set to be detected and the reference paragraph set are expressed as a multiple-concept sequence to be detected and a reference multiple-concept sequence according to the found concepts; the reference multiple-concept sequence having the most common concepts with the multiple-concept sequence to be detected is obtained through searching according to the multiple-concept sequence to be detected; the multiple-concept sequences are detected to generate a plagiarism evidence list; the plagiarism evidence list is combined and ordered to generate a detection result; the detection result is output and displayed. By means of the cross-linguistic electronic text plagiarism detection system and detection method, the built multiple-concept sequences can sufficiently search the electronic text to be detected and the reference electronic text, and further the detection accuracy is improved.

Description

technical field [0001] The invention belongs to the field of intelligent information processing and computer technology, and in particular relates to a cross-language electronic text plagiarism detection system and a detection method thereof. Background technique [0002] With the rapid development of information technology, there are massive electronic texts on the Internet, and the number is still increasing. Protecting the intellectual property rights of electronic texts has become the consensus of all walks of life at home and abroad. Text copy detection, also known as text plagiarism detection, is a technology for judging whether a text copies one or more other texts, and provides technical support for protecting the intellectual property rights of electronic texts. With the deepening of internationalization, the copying of texts is not limited to a single language, and the text copying of cross-language translation is also very common. Therefore, cross-language text ...

AI Technical Summary

Problems solved by technology

However, the problem with this approach is that the quality of machine translation can have a critical impact on detection results

At present, the accuracy of machine translation for large paragraphs of text is still very poor

There is a huge gap between machine translation quality and human translation quality

Therefore, although machine translation converts different language texts into the same language text, there will be some wrong translations, synonym substitutions and order reversals

These errors greatly affect the quality of subsequent text copy detection

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