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  2. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.

  3. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]

  4. Wikipedia:Content translation tool - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Content...

    The content translation tool assists users in translating existing Wikipedia articles from one language to another. Users select an article in any language, then select another language, and the interface provides machine translation which the human user can then use as inspiration to make readable text in another language.

  5. Rifapentine - Wikipedia

    en.wikipedia.org/wiki/Rifapentine

    Rifapentine, sold under the brand name Priftin, is an antibiotic used in the treatment of tuberculosis. [2] In active tuberculosis it is used together with other antituberculosis medications . [ 2 ] In latent tuberculosis it is typically used with isoniazid . [ 2 ]

  6. File:Insights Report - CI - Machine Translation (1).pdf

    en.wikipedia.org/wiki/File:Insights_Report_-_CI...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  7. Google Neural Machine Translation - Wikipedia

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

    Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.

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