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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 Neural Machine Translation - Wikipedia

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

    GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]

  4. Comparison of machine translation applications - Wikipedia

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

    Apertium wiki (list of language pairs and licence information) Xerox Easy Translator Service (list of language pairs) Bing Translator Language List; Haitian Creole support in Bing/Microsoft Translator; Microsoft Research: Syntactically Informed Phrasal SMT; List of supported languages in Google Translate

  5. 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]

  6. 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.

  7. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]

  8. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    The notable rise of social networking on the web in recent years has created yet another niche for the application of machine translation software – in utilities such as Facebook, or instant messaging clients such as Skype, Google Talk, MSN Messenger, etc. – allowing users speaking different languages to communicate with each other.

  9. 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

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