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  2. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    Since integrating external code is often harder than writing it from scratch, most plagiarizing students choose to do so from their peers. According to Roy and Cordy, [48] source-code similarity detection algorithms can be classified as based on either Strings – look for exact textual matches of segments, for instance five-word runs.

  3. Paraphrasing of copyrighted material - Wikipedia

    en.wikipedia.org/wiki/Paraphrasing_of...

    Porter: (a) whether copying occurred (as opposed to independent creation), and (b) whether the copying amounts to an "improper appropriation", meaning that enough of the author's protected expression (and not unprotected ideas) was copied to give rise to a "substantial similarity" between the original work and the putative copy.

  4. Help:Citation tools - Wikipedia

    en.wikipedia.org/wiki/Help:Citation_tools

    The citation generation tool of the Visual Editor (WP:REFVISUAL) can also be used when editing the article source, for users who have enabled the 2017 wikitext editor in their preferences. Template:Ref info, which can aid evaluating what kind of citation style was used to write the article; Based on Citoid: Cite templates in Visual Editor

  5. Scribd - Wikipedia

    en.wikipedia.org/wiki/Scribd

    Scribd Inc. (pronounced / ˈ s k r ɪ b d /) operates three primary platforms: Scribd, Everand, and SlideShare.Scribd is a digital document library that hosts over 195 million documents.

  6. Machine code - Wikipedia

    en.wikipedia.org/wiki/Machine_code

    Machine code is generally different from bytecode (also known as p-code), which is either executed by an interpreter or itself compiled into machine code for faster (direct) execution. An exception is when a processor is designed to use a particular bytecode directly as its machine code, such as is the case with Java processors .

  7. Artificial intelligence in Wikimedia projects - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    A 2017 paper described Wikipedia as the mother lode for human-generated text available for machine learning. [ 29 ] A 2016 research project called "One Hundred Year Study on Artificial Intelligence" named Wikipedia as a key early project for understanding the interplay between artificial intelligence applications and human engagement.

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