Mr Calcu | Spot copied content instantly and boost originality with this fast, accurate plagiarism estimator trusted by writers, students, and editors.
Boost credibility and ensure content integrity with our powerful plagiarism score estimator. Quickly detect copied text and gain peace of mind.
Plagiarism Score Estimator Description
Understanding Plagiarism Detection
The Plagiarism Score Estimator helps quantify how original a piece of writing is. It compares submitted content with millions of academic and web-based sources using advanced algorithms and natural language processing (NLP).
Key Features:
- Lexical and syntactic analysis
- Detection of reworded phrases using semantic embeddings
- Weighted scoring across document sections
- Multilingual support for content comparison
Mathematical Foundations
The plagiarism score P is calculated using the following weighted formula:
P = (Σ S_i * W_i) / T
- Si = Similarity score for the i-th segment (0–1)
- Wi = Weight of the i-th segment
- T = Total normalized weight
Similarity Metrics:
- Cosine Similarity:
Cosine(A, B) = (A · B) / (||A|| ||B||)
- Jaccard Index:
Jaccard(A, B) = |A ∩ B| / |A ∪ B|
Pro Tip: Properly segmenting your text (intro, body, conclusion) enhances scoring accuracy and improves revision focus.
How It Works
- Text is segmented and tokenized.
- Each section is compared with a multilingual database of content.
- Matches are identified through exact string and semantic analysis.
- Each segment receives a similarity score weighted by relevance and length.
- Final output includes plain text, highlights, and a score breakdown.
Real-World Case Studies
Case Study 1: Academic Thesis
- Initial Score: 35%
- Reason: Methodology section reused institutional frameworks.
- After Source Attribution: Score reduced to 12%
Case Study 2: Marketing Blog Post
- Initial Score: 28%
- Reason: Copied product descriptions
- After Rewrite: Score reduced to 5%
Edge Cases Explained
- Self-plagiarism: Scores may rise when reusing personal work, even with authorship.
- Standard definitions: Technical phrases may trigger matches; their impact is minimized algorithmically.
- Paraphrasing: Advanced NLP detects contextual similarity even with different wording.
- Multilingual support: Translated comparisons can slightly alter accuracy.
- Quoted material: Quotes should be properly cited to avoid incorrect matches.
Start your scan now and ensure your content is clean, credible, and ready to publish.