Development of a Plagiarisms Detecting System for Reporting Assignments based on the Style Model
| Project/Area Number |
25330408
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Learning support system
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| Research Institution | Kobe University |
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Principal Investigator |
Murao Hajime 神戸大学, 国際文化学研究科, 教授 (70273761)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 盗用発見 / 機械学習 / 教育支援 / 教育工学 / 人工知能 |
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| Outline of Final Research Achievements |
In this study, we have developed a prototype system to detect plagiarisms in reporting assignments. The system firstly train a Hidden Markov Model (HMM) for each of students from "expression feature" of submitted reports, such as a number of punctuations, the location of new-lines, etc. We call the trained HMM a "style model". Then, whenever a student submits a new report, the system uses the student’s style model to validate if the report has been actually written by the student. We have tested the system in our laboratory and observed quite fair result around 70% of correct classification.
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Report
(4 results)
Research Products
(7 results)
