Plagiarism detection system
Who is it for?
Plagiarism detection system is specifically designed for proctoring providers and users, LMS providers and integrators, as well as universities and educational organizations. With our advanced technology, you can process several hundreds of exam scripts in just a matter of hours.
The solution processes several hundreds of exam essays in a few hours, finding for the instructors only few highly similar pairs of exam scripts for manual inspection.
The antiplagiarism solution is based on Silk Data’s proprietary document processing and analysis platform. It consists of a text extraction from PDF and other formats, text comparison engine, and visualization of results for analysis.
Because the exam scripts may contain legitimate common pieces, the final solution acts more like a filter: it locates suspicious pairs of documents that reach a specified similarity threshold. After such filtering, it only takes a couple of hours for a human professional to manually review 20-30 pairs of documents.
Main features
Features that make our system an ideal tool for organizations that are concerned about originality:
- Add-on (API) for Learning Management Systems (LMS), and e-proctoring
- Processing time about 2-4 hours / 1000 essays (Depends on parameters and number of similar documents)
- Background processing
- Support of online (S3) or local archives
- PDF/DOCX support
- Highly configurable
- Can be provided in cloud, on-premise or SaaS
- State-of-the-art Natural Language Processing (NLP)
- Extensibility options
- Real-time Monitoring
- Customizable Settings
- Data Security
How it works?
- Gather the documents: Collect all the exam essays to check for plagiarism and prepare an archive of all files in an exam.
- Upload the essays: upload the documents to our plagiarism detection tool. You are able to upload them in various formats, such as text, PDF, or Word documents.
- Run the check: Once the documents are uploaded, the plagiarism detection tool will analyze them and compare them against each other to identify any instances of plagiarism.
- Review the results: After the plagiarism detection tool has completed the analysis, review the results. Our tool has several options to identify pairs of similar ones (cheating/plagiarism candidates): focus on different parts and focus on similar parts.
- Interpret the results: It's important to understand the context of any potential plagiarism identified in the results. Some instances of similarity may be legitimate, such as quotes or commonly used phrases, while others may be more concerning. Take the time to carefully review the results and consider the context before making any decisions.
- Take action: Depending on the severity of the plagiarism identified, you may need to take action.
Note, usually the steps 1 through 4 will be part of LMS or online proctoring solution.
Pricing
- up to 10 document batches per day
- no more than 10-15 documents (essays) in one batch (archive)
- no more than 500 documents (essays) in a batch
- monthly limit 1000 batches
- USD 300/month
- up to 3000 documents in a batch
- USD 800/month (for processing in Silk Data cloud; discount for support in customer's cloud instance)
- limits and prices are on demand
Tool benefits
- There is no complete analogue that focused on exams. We are focused on making an easy-to-use visualization of common texts and assist the teacher/instructor to identify legal or malicious copying.
- Fast processing on large exams (typically, a couple of hours for 1000 essays)
- Easy to use, integrate, and customizable
- Increased accuracy and efficiency
- Enabling technology
- Cost saving
Our clients
Check out our user reviews and case studies to see how our system has helped other organizations tackle plagiarism:
FAQ
How can you detect unintentional plagiarism while writing the essays?
In the current version, it is an instructor’s responsibility to decide if the common text in two essays is legitimate (for example, it can be a necessary citation). Adding the ability to ignore common text will be added to one of the next versions.
How will your system be able to distinguish between original work and plagiarisms?
Technically, our tool, like all antiplagiarism software, is a similarity detection and text matching software. It is a part of the plagiarism avoidance policies followed in an educational organization to decide what kind of textual similarity is indeed plagiarism.
What are the consequences of plagiarism in academic writing?
Plagiarism can easily derail an academic career. Educational institutions have a zero-tolerance policy for cheating and plagiarism. Any such allegations can lead to severe consequences, such as suspension or even expulsion.
Does your plagiarism detection system have an analogue on the market?
There is no complete analogy that focuses on exams: our solution is optimized for fast detection of similar documents in large batches of texts. Most other plagiarism detection systems are focused on finding copies from online sources or scholarly articles, but not on fast cross-checking of large batches of essays.
