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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 ... Russian, Serbian and Urdu. Latin [72] [73] 22nd stage (launched December 2010) ...

  3. 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 ...

  4. 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

  5. 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 ]

  6. Romanization of Russian - Wikipedia

    en.wikipedia.org/wiki/Romanization_of_Russian

    The romanization of the Russian language (the transliteration of Russian text from the Cyrillic script into the Latin script), aside from its primary use for including Russian names and words in text written in a Latin alphabet, is also essential for computer users to input Russian text who either do not have a keyboard or word processor set up for inputting Cyrillic, or else are not capable ...

  7. 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.

  8. Omega (Cyrillic) - Wikipedia

    en.wikipedia.org/wiki/Omega_(Cyrillic)

    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. Yo (Cyrillic) - Wikipedia

    en.wikipedia.org/wiki/Yo_(Cyrillic)

    View a machine-translated version of the Russian 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.