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  2. Comparison of machine translation applications - Wikipedia

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

    Free, commercial (varies by plan) 3.0: No: 50+ Both rule-based and statistical models developed by IBM Research. Neural machine translation models available through the Watson Language Translator API for developers. [4] [5] Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No: 100+ Statistical and neural ...

  3. Yandex Translate - Wikipedia

    en.wikipedia.org/wiki/Yandex_Translate

    After all, we hardly think in terms of "meaning-text", when we say, for example: "Take a pear". In addition to the free version for users, there is a commercial API online translator (free up to 10 million characters, then paid), designed primarily for the localization of sites of Internet shops and travel companies. [10]

  4. Google Neural Machine Translation - Wikipedia

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

    Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language. [1]

  5. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service. Speech translation: Microsoft Translator is integrated into Microsoft Speech services which is an end-to-end REST based API that can be used to build applications, tools, or any solution requiring multi-languages ...

  6. 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]

  7. Apertium - Wikipedia

    en.wikipedia.org/wiki/Apertium

    The diagram displays the steps that Apertium takes to translate a source-language text (the text we want to translate) into a target-language text (the translated text). Source language text is passed into Apertium for translation. The deformatter removes formatting markup (HTML, RTF, etc.) that should be kept in place but not translated.

  8. 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.

  9. NiuTrans - Wikipedia

    en.wikipedia.org/wiki/NiuTrans

    NiuTrans.SMT is an open-source statistical machine translation system jointly developed by the Natural Language Processing Laboratory of Northeastern University and Shenyang Yayi Network Technology Co., Ltd. NiuTrans.NMT is a lightweight and efficient Transformer-based neural machine translation system.

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