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  2. QuillBot - Wikipedia

    en.wikipedia.org/wiki/QuillBot

    Current status. Active. QuillBot is a software developed in 2017 that uses artificial intelligence to rewrite and paraphrase text. [1][2][3][4]

  3. Paraphrase - Wikipedia

    en.wikipedia.org/wiki/Paraphrase

    Paraphrase. A paraphrase or rephrase (/ ˈpærəˌfreɪz /) 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 ...

  4. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne -based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.

  5. Unbabel says its new AI model has dethroned OpenAI’s ... - AOL

    www.aol.com/finance/unbabel-says-ai-model...

    Unbabel, a tech company that provides both machine and human-based translation services for businesses, has created a new AI model that it says beats OpenAI’s GPT-4o and other commercially ...

  6. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [1]: 293 [2]: 1 and can produce translations that rival human translations when ...

  7. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    v. t. e. Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate. [1][2][3][4] The neural network consisted of two main blocks, an encoder and a decoder, both of LSTM ...

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