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2. LanguageTool - Wikipedia

   en.wikipedia.org/wiki/LanguageTool

   The core app itself is free and open-source and can be downloaded for offline use. Some languages use ' n-gram ' data, [ 7 ] which is massive and requires considerable processing power and I/O speed, for some extra detections.

3. QuillBot - Wikipedia

   en.wikipedia.org/wiki/QuillBot

   According to a 30 under 30 listing on Forbes, QuillBot has a user base that includes both free and premium subscribers.The listing also states that in August 2023, QuillBot was acquired by Course Hero. [5]

4. Grammar checker - Wikipedia

   en.wikipedia.org/wiki/Grammar_checker

   The fact that a natural word may be used as any one of several parts of speech (such as "free" being used as an adjective, adverb, noun, or verb) greatly increases the complexity of any grammar checker. A grammar checker will find each sentence in a text, look up each word in the dictionary, and then attempt to parse the sentence into a form ...

5. Paraphrase - Wikipedia

   en.wikipedia.org/wiki/Paraphrase

   A paraphrase or rephrase (/ ˈ p ær ə ˌ f r eɪ z /) is the rendering of the same text in different words without losing the meaning of the text itself. [1] More often than not, a paraphrased text can convey its meaning better than the original words. In other words, it is a copy of the text in meaning, but which is different from the original.

6. Reverso (language tools) - Wikipedia

   en.wikipedia.org/wiki/Reverso_(language_tools)

   Reverso Context is an online and mobile application combining big data from large multilingual corpora to allow users to search for translations in context. [ 12 ] [ 13 ] These texts are sourced mainly from films, books, and governmental documents, allowing users to see idiomatic usages of translations as well as synonyms and voice output.

7. Paraphrasing (computational linguistics) - Wikipedia

   en.wikipedia.org/wiki/Paraphrasing...

   This is achieved by first clustering similar sentences together using n-gram overlap. Recurring patterns are found within clusters by using multi-sequence alignment. Then the position of argument words is determined by finding areas of high variability within each cluster, aka between words shared by more than 50% of a cluster's sentences.