To develop a software plagiarism detector, start by implementing text analysis techniques that tokenize and normalize the input documents, removing stop Words and punctuation. Use algorithms such as cosine similarity, Jaccard index, or fingerprinting to compare documents and identify similarities. Incorporate machine learning models that can learn from labeled examples of original and plagiarized text to improve accuracy. Finally, create a user-friendly interface for users to upload documents and receive detailed reports on detected similarities.
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