Plagiarism Detection Using Synonym-Augmented Trigram Analysis
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Solution Overview
Problem
Conventional plagiarism detection methods fail to identify heavily paraphrased documents that use synonyms, as they rely on exact-string matches and are computationally intensive, allowing plagiarized content to go unnoticed.
Innovation Solution
The method associates synonyms with terms in a source passage to create a modified passage with augmented tokens, which are then compared to a candidate passage using a trigram scorer to detect potential plagiarism, easing the pressure on exact-string matches and enhancing detection of paraphrased content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct verbatim comparison is used for plagiarism detection, then exact string matches can be detected, but heavily paraphrased content using synonyms cannot be identified
Solution Approach 1:
The system changes the parameter of text comparison from exact string matching to synonym-aware matching. By integrating a thesaurus that provides synonym relationships, the system can detect paraphrased content that uses different words with similar meanings, thereby improving both detection accuracy and adaptability to various forms of plagiarism.
Solution Approach 2:
A thesaurus is introduced as an intermediary component between the text comparison process and the plagiarism detection system. This thesaurus acts as a mediator that provides synonym information, allowing the system to bridge the gap between exact matching and semantic equivalence, thus enabling detection of paraphrased content.
2Adaptability or versatility
If synonym substitution is performed to detect paraphrasing, then paraphrased content can be detected, but computational complexity increases
Solution Approach 1:
The system performs preliminary action by pre-loading and storing synonym relationships in a thesaurus before the actual plagiarism detection process. This preparation work is done in advance, so that during text comparison, the system can quickly query pre-computed synonym data rather than performing complex linguistic analysis in real-time, thus reducing computational complexity during detection.
3Measurement precision
If manual detection is used for plagiarism, then high accuracy can be achieved, but the process is extremely time-consuming
Solution Approach 1:
The system implements self-service by automatically querying the thesaurus for synonym relationships and performing synonym-substituted text comparisons without requiring manual intervention. This automation maintains high detection accuracy through sophisticated comparison methods while dramatically improving productivity by eliminating the time-consuming nature of manual detection.
Data Source
AI summary
Current plagiarism checkers can determine if a document has extensively copied from another but these checkers fail when a document is filled with synonyms. The present invention offers a means of detecting plagiarism involving the use of synonyms or heaving paraphrasing. A source passage from a pertinent corpus is modified by generating augmented tokens which include synonyms for the various terms in the passage. Text analysis may be required to confirm the semantic meaning of a term. The modified passage may be a regular expression. The modified passage can then be compared to a suspect passage using a trigram scorer. If possible plagiarism is detected, an alert message is sent to a reviewer with the passage of interest, the source passage, and an identification of the related corpus.