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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

   A grammar checker, in computing terms, is a program, or part of a program, that attempts to verify written text for grammatical correctness. Grammar checkers are most often implemented as a feature of a larger program, such as a word processor , but are also available as a stand-alone application that can be activated from within programs that ...

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's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.

7. Text-to-image personalization - Wikipedia

   en.wikipedia.org/wiki/Text-to-image_personalization

   Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.