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Electronic homework copying detection method

A detection method and electronic homework technology, applied in the fields of electronic learning and natural language processing, can solve problems such as large errors and slow speed

Inactive Publication Date: 2012-04-11
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

But the traditional homework detection is done based on calculating the distance of text vectors, which has large error and slow speed

Method used

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Embodiment Construction

[0014] Hereinafter, various details involved in the technical solution of the present invention will be described in detail with reference to the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, and do not have any limiting effect on it.

[0015] The present invention provides a method for detecting plagiarism in electronic work, and the specific implementation steps are as follows:

[0016] 1. Job type adaptation and job content extraction

[0017] For batch jobs to be processed, first perform job type adaptation and job content extraction, such as figure 1 Shown. The jobs in the job text set are processed by the job type adapter, and are processed by different document parsers according to different job document types. figure 1 The functions of the WORD document parser, PDF document parser, PPT document parser, and HTML document parser shown are to extract the contents of WORD, PDF,...

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Abstract

The invention relates to an electronic homework copying detection method, which comprises the following steps of: first performing document type adaptation and document content extraction on homework to be processed; then performing Chinese word segmentation and speech tagging on a processed plain text file, and calculating similarity between the homework according to the word frequency of high frequency words and the semantic similarity of content words; and finally fusing the similarity between the homework and the semantic similarity of the content words, and judging whether two documents are copied or not according to a threshold value. The method is characterized in that: copying detection on the electronic homework is realized by utilizing the word frequency of the high frequency words 'De', 'Yi', 'Shi', 'Le' and 'Wo' and the semantic similarity of the content words. By the method, the problems of the copying detection on batch homework in an E-learning system and detection on the homework copying ways of synonymous substitution, statement regulation and the like of students are solved; and the method can be used for performing the copying detection on the homework of various document types in a computer-aided teaching system.

Description

Technical field [0001] The present invention relates to the fields of electronic learning and natural language processing. It extracts the content of the job set, and detects the plagiarism of the job through the frequency of common words and the meaning similarity of actual words. Background technique [0002] With the popularization of e-learning systems (E-Learning), a large number of student work is submitted to the e-learning system in the form of electronic work, and the teacher will finally give an assessment. Due to the large number of electronic tasks, the workload of manually judging whether there is plagiarism between any two tasks is very large. For the plagiarism detection of electronic work, manual processing is time-consuming and labor-intensive, which cannot meet the requirements of batch detection. The calculation method of document similarity based on natural language processing enables electronic work plagiarism detection to be completed by computer. However,...

Claims

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Application Information

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IPC IPC(8): G06F17/27
Inventor 张师林
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY
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