However, there’s a pair of crucial differences between Google’s implementation and Microsoft’s.
While such services still provide simple similarity detection, the focus has moved to authorship detection, such as Turnitin’s Authorship and UniCheck’s Emma system. The plagiarism-detection space has mostly moved on. In essence, it was a product comparable to where plagiarism-detection tools were 20 years ago. Though it is a useful addition to the G Suite, all it does is mark suspicious passages for the user to edit or remove. The response to that was relatively muted. In January, Google announced the launch of Originality Reports, its plagiarism detection tool for Google Drive. While working in Microsoft Word, the user pulls up the Microsoft Editor pane and then scrolls to the similarity report. Using the similarity checker tools is very straightforward. However, a question lingers: Is it too little too late or is Microsoft’s offering a potential game-changer? How it Works
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Though the other grammar checking tools have been available since April, the similarity detection tool began rolling out this week with a full release anticipated next month. While the move is not a direct shot at Turnitin, PlagScan, UniCheck and other academic anti-plagiarism tools, it is a shot across the bow at Grammarly, which has offered similar functionality for Word for years. In addition to the similarity checker, Microsoft Editor will also help make rewrite suggestions and include recommendations for improving clarity, grammar and inclusiveness.
However, Microsoft recently announced that Word would be getting it’s first built-in plagiarism checker.Ī part of their Microsoft Editor package, the new similarity detection tool will use Microsoft’s Bing search engine to detect duplicate text and automatically add citations and change formats to help give the appropriate attribution. However, up until now, that’s required the use of third-party services and plugins. Users of Microsoft Word have long been able to check their work for plagiarism and similarity issues.
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