VIGINUM-FR/D3lta
A Python implementation of the D3lta algorithm for duplicated textual content detection
This tool helps content analysts, researchers, or journalists identify different forms of duplicate content across a large collection of documents. You input a set of texts, and it outputs a report detailing instances of direct copies (copypasta), reworded content, and translated content. This is for anyone needing to detect content reuse, plagiarism, or coordinated information campaigns.
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Use this if you need to automatically find not just exact copies, but also rephrased or translated versions of text within a large dataset.
Not ideal if you only need to check for simple, exact string matches, or if your text collection is very small.
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58
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8
Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 31, 2025
Commits (30d)
0
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