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  2. Google Neural Machine Translation - Wikipedia

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

    In November 2016, Google Neural Machine Translation system (GNMT) was introduced. Since then, Google Translate began using neural machine translation (NMT) in preference to its previous statistical methods (SMT) [1] [16] [17] [18] which had been used since October 2007, with its proprietary, in-house SMT technology. [19] [20]

  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. 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. Part of on.

  5. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Bing Microsoft Translator (previously Live Search Translator, Windows Live Translator, and Bing Translator) [ 19] is a user-facing translation portal provided by Microsoft as part of its Bing services to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator, a neural machine ...

  6. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Neural machine translation. Neural machine translation ( NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [1] : 293 [2] : 1 and can produce translations that rival ...

  7. SYSTRAN - Wikipedia

    en.wikipedia.org/wiki/SYSTRAN

    It was used by Google's language tools until 2007. SYSTRAN is used by the Dashboard Translation widget in macOS. Commercial versions of SYSTRAN can run on Microsoft Windows (including Windows Mobile), Linux, and Solaris. Historically, SYSTRAN systems used rule-based machine translation (RbMT) technology.

  8. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. Early approaches were mostly rule-based or statistical. These methods have since been superseded by neural machine translation [1] and large language models ...

  9. History of machine translation - Wikipedia

    en.wikipedia.org/wiki/History_of_machine_translation

    History of machine translation. Machine translation is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one natural language to another. In the 1950s, machine translation became a reality in research, although references to the subject can be found as early as the 17th century.