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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. Google Dictionary - Wikipedia

    en.wikipedia.org/wiki/Google_Dictionary

    Google Dictionary is an online dictionary service of Google that can be accessed with the "define" operator and other similar phrases [note 1] in Google Search. [2] It is also available in Google Translate and as a Google Chrome extension. The dictionary content is licensed from Oxford University Press's Oxford Languages. [3]

  4. 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 ...

  5. Powhatan language - Wikipedia

    en.wikipedia.org/wiki/Powhatan_language

    Powhatan or Virginia Algonquian is an Eastern Algonquian subgroup of the Algonquian languages.It was formerly spoken by the Powhatan people of tidewater Virginia.Following 1970s linguistic research by Frank Thomas Siebert, Jr., some of the language has been reconstructed with assistance from better-documented Algonquian languages, and attempts are being made to revive it.

  6. Wikipedia:Google Translate - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Google_Translate

    The accuracy of Google Translate continues to improve, and in many cases approaches the accuracy of human translation; Use of non-English sources can help counter systemic bias on Wikipedia, which skews to Anglocentric and Eurocentric perspectives; Cons. Accuracy may not be sufficient for all uses, and human translation is still more accurate

  7. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    Reception of DeepL Translator is generally positive. TechCrunch appreciates it for the accuracy of its translations and stating that it was more accurate and nuanced than Google Translate. [3] Le Monde thank its developers for translating French text into more "French-sounding" expressions. [38]

  8. Tupi–Guarani languages - Wikipedia

    en.wikipedia.org/wiki/Tupi–Guarani_languages

    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.

  9. 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.