A Set-Based Approach to Plagiarism Detection
نویسندگان
چکیده
This paper describes our approach to the Detailed Analysis subtask of the PAN 2012 competition. Our experiments deal with monolingual plagiarism cases, only. We use a simple set-based algorithm, that employs Dice’s coefficient as a similarity measure. Furthermore we employ basic strategies from Information Retrieval and Natural Language Processing for stop word removal and language detection. We achieved the 7th place with an overall PlagDet score of 0.35.
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