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White, Daniel R.; Joy, Mike S. – Journal on Educational Resources in Computing, 2004
With the increasing levels of access to higher education in the United Kingdom, larger class sizes make it unrealistic for tutors to be expected to identify instances of peer-to-peer plagiarism by eye and so automated solutions to the problem are required. This document details a novel algorithm for comparison of suspect documents at a sentence…
Descriptors: Plagiarism, Computer Software, Foreign Countries, Natural Language Processing