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Plagiarism is a serious problem in the present day scenario. The easy availability of information of all sorts over the web is the major reason. This paper presents a detection system based on fingerprinting for identifying copy in Malayalam text-based documents. The challenge in identifying plagiarism in Malayalam documents is due to the intricate linguistic composition of Malayalam. Malayalam is agglutinative as well as morphologically rich language. In this paper, a procedure for plagiarism detection of Malayalam documents to identify similarity between documents is presented. This method establishes the extent of similarity between any two documents. The winnowing algorithm is used to compute the fingerprints at sentence level. The method improves the search time with more accuracy in the detection process.
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Stored only when both papers are in the corpus — 12 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.