Plagiarism is copying someone else's work (in this case, a quotation, sentence, article, review, essay, essay, etc.) and assigning it to yourself, thus concealing the real author. We divide plagiarisms into explicit, hidden, total, partial and autoplagic. Open plagiarism is one of the most common types and consists in taking over the entire work or a specific fragment and signing it with your own name. The other one is hidden plagiarism, that is, assigning a certain part of the work, not to mention its actual creator. The third type is total plagiarism, and as the name suggests, it is based on the total stealing of a given job. The fourth is partial plagiarism - in this case we are talking about assigning some elements from a given work and signing them as our own creation. The last one is autoplagiat, and it is based on copying one's own work, which has already been published earlier. Universities and schools have anti-plagiarism systems that check the originality of the work. These programs have the option of blocking or invalidating a given work, it may also lead to the person being held criminally liable. So how do you avoid this unpleasant situation? One of the methods is the synonymization and paraphrase of the text, that is, the modification of the original text while maintaining its meaning. It is most often about transferring information in your own words. But what do you do when you run out of words? Our mixer of synonyms will help in generating unique content using synonymisation, that is, converting words to others, but with the same meaning. The program is fully free and very easy to use. Paraphrase Online save time and enrich the language, they come to help whenever we struggle with how to convert a piece of text. Our program includes the best, most extensive language dictionary, and thus the synonym of almost every popular word. Thanks to the mixture of synonyms and using your own invention, you can create a new, unique text that the anti-plagiarism considers as your own.
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Hey Cathy, thanks for sharing about WordAi. It certainly is interesting, to say the least. I guess at some point all of us would want to automate our business and will look into programs like these for a solution. The example you showed gave me a very clear indication that the algorithm isn’t quite there yet. You seem too lenient in grading it because to me, it is practically unreadable. I believe hiring writers is a better use of that money.
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Imo it is not possible for google to detect properly spun content, it is not worth computing power it requires. They can do this using ngrams for example, but it is uses a lot of queries. And for example article spinner I coded beats this algo, so google cant detect that the content is spun. Manual spinning is also good but it takes more than 30 minutes per article.