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  2. Yandex Translate - Wikipedia

    en.wikipedia.org/wiki/Yandex_Translate

    Previously, machine translation was based on "the meaning of the text" model: take any language, translate the words in the universal language of the senses, and then translate these meanings in the words of another language – and obtain the translated text. This model prevailed in the 1970s-1980s and automated in the 1990s.

  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. Tenglish - Wikipedia

    en.wikipedia.org/wiki/Tenglish

    Tenglish (Telugu: తెంగ్లిష్ (teṅgliṣ)), refers to the code-mixing or code-switching of the Telugu language and Indian English. The name is a portmanteau of the names of the two languages and has been variously composed.

  5. Category:Telugu–English translators - Wikipedia

    en.wikipedia.org/wiki/Category:TeluguEnglish...

    Pages in category "Telugu–English translators" ... Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  6. Google Neural Machine Translation - Wikipedia

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

    Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...

  7. Telugu Wikipedia - Wikipedia

    en.wikipedia.org/wiki/Telugu_Wikipedia

    View a machine-translated version of the Telugu article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia. Do not ...