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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. 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

  6. Translation - Wikipedia

    en.wikipedia.org/wiki/Translation

    In translation, a source text (ST) is a text written in a given source language which is to be, or has been, translated into another language, while a target text (TT) is a translated text written in the intended target language, which is the result of a translation from a given source text.

  7. Urdish - Wikipedia

    en.wikipedia.org/wiki/Urdish

    Urdish, Urglish or Urdunglish, a portmanteau of the words Urdu and English, is the macaronic hybrid use of South Asian English and Standard Urdu. [1] In the context of spoken language, it involves code-switching between these languages whereby they are freely interchanged within a sentence or between sentences.

  8. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    The reception of DeepL Translator has been 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]

  9. Piyāla - Wikipedia

    en.wikipedia.org/wiki/Piyāla

    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 translate text that appears unreliable or low-quality.