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2. Unicheck - Wikipedia

   en.wikipedia.org/wiki/Unicheck

   The check results are presented as a similarity report, where each of the similarities that have been found has a link to the source. These reports can be downloaded as PDF documents. Unicheck can be used as a stand-alone online tool, or integrated into an LMS (Learning Management System) via plugin , LTI , API or LTI+API types of integrations.

3. Wordtune - Wikipedia

   en.wikipedia.org/wiki/Wordtune

   Users can use the tool to paraphrase text being composed on services like Gmail, Google Docs, Facebook, Twitter, and LinkedIn. [ 10 ] On November 14, 2021, AI21 released Wordtune Read — an AI-powered Chrome extension and standalone app designed to process large amounts of written text from websites, documents, or YouTube videos, and summarize ...

4. Grammarly - Wikipedia

   en.wikipedia.org/wiki/Grammarly

   Grammarly is an English language writing assistant software tool. It reviews the spelling, grammar, and tone of a piece of writing as well as identifying possible instances of plagiarism . It can also suggest style and tonal recommendations to users and produce writing from prompts with its generative AI capabilities.

5. Comparison of anti-plagiarism software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_anti...

   (free of charge web service) Latin Submissions are limited to 1,000 words. Checking against abstract and titles in Medline/PubMed. [5] iThenticate: iParadigms 2004 2017 proprietary: SaaS: Latin PlagScan: PlagScan GmbH 2008 limited SaaS, On-Premises [6] Latin, Cyrillic & Arabic [7] [8]

6. Copyleaks - Wikipedia

   en.wikipedia.org/wiki/Copyleaks

   Copyleaks is a plagiarism detection platform that uses artificial intelligence (AI) to identify similar and identical content across various formats. [1] [2]Copyleaks was founded in 2015 by Alon Yamin and Yehonatan Bitton, software developers working with text analysis, AI, machine learning, and other cutting-edge technologies.

7. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.