Codequiry is a popular plagiarism checker for educators to check the assignments submitted by students are original and not copied from other students or any source. This enables students to code for themselves and independently.
Codequiry uses MOSS Stanford for algorithms used for similarity comparison against peers.
Codequiry obtains a weighted average of three unique tests, all of which produce a result based on logical similarity and language similarity.
We have a passive machine learning layer as well as another set of unique tests to check for web source similarity.
More and more authors of bachelor theses, master theses, and dissertations, therefore, want to play it safe and let the results of their laborious research be put through their paces - in other words: for incomplete or incorrectly specified sources.
Put somewhat simply; the systems do precisely what any ordinary mortal would have thought of: They identify suspicious sections in a text, look up these sections in a search engine, read through the references, and summarize the results in a more or less pretty report.
Annoyingly, as is so often the case, the devil lies in the details, because of course, each of these steps can be done better or worse.
Ultimately, plagiarism search engines increase the probability of landing a relevant hit with a word combination, i.e., discovering a plagiarized text passage.
Very few tools for plagiarism checking are reinventing the wheel but are using the major search engines Google and Bing, usually enriched with their libraries.
But you have to help with the interpretation - at least if the percentages or plagiarism traffic lights of the plagiarism scan should make sense.
