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  2. 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]

  3. Yandex Translate - Wikipedia

    en.wikipedia.org/wiki/Yandex_Translate

    Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language. The service uses a self-learning statistical machine translation , [ 3 ] developed by Yandex. [ 4 ]

  4. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

  5. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    Papago ended its trial phase and officially launched on July 19, 2017, with translation options. It was only available as a smartphone app but it has since launched its own website and has expanded to other languages.

  6. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...

  7. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Use of a "do-not-translate" list, which has the same end goal – transliteration as opposed to translation. [39] still relies on correct identification of named entities. A third approach is a class-based model. Named entities are replaced with a token to represent their "class"; "Ted" and "Erica" would both be replaced with "person" class token.

  8. Google Translator Toolkit - Wikipedia

    en.wikipedia.org/wiki/Google_Translator_Toolkit

    Google Translator Toolkit by default used Google Translate to automatically pre-translate uploaded documents which translators could then improve. Google Inc released Google Translator Toolkit on June 8, 2009. [2] This product was expected to be named Google Translation Center, as had been announced in August 2008.

  9. Wikipedia:Translate us - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Translate_us

    If appropriate, please tidy up the layout of any pages you translate. Please note that some non-prose elements of pages, such as templates like Infoboxes , may be placed using different wording in other-language Wikipedias, and so at times cannot simply be copied from one Wikipedia to another (when that is encountered, fix the template name ...