Marchenko told Digital Trends that the technology combines natural language processing NLP and machine learning with the techniques of stylometry, a study of linguistic style rooted in the 1. Ever have one of those days where youre just sitting around, falsifying documents, and just cantRead more Read. While the list of potential users ranges from journalists and lawyers to historians and the FBI perhaps to track down the writers of blackmail notes, one of the primary target audiences is educators. Teachers and professors can use Emmas skills to determine plagiarism they may suspect in student assignments. TheINQUIRER publishes daily news, reviews on the latest gadgets and devices, and INQdepth articles for tech buffs and hobbyists. An extensive collection of wordlists for 20 languages and lists of common passwords intended for use with password recovery, password cracking, and password strength. Considering that a variety of studies over the past 1. Emma could make a big impact in classrooms. Also, its a step up from the basic cut and paste Google search that many lower level teachers still rely on, or even detection software such as Turn. It. In, one of the most popular plagiarism detection products across the world. Constant complaints by educators, and software efficacy researchers such as HTW Berlin, about the software currently on the market have been related to the technology being able to determine text parallels through scanning text, but not actual plagiarism. Emmas capability to determine authorship with such high accuracy should decrease the number of false negatives and positives. If you want to test Emmas capabilities, shes currently in beta and you can try to trick her first, you teach her an original text, and then run other texts against it. She just has one rule No cheating.