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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. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL .

  4. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...

  5. Eijirō - Wikipedia

    en.wikipedia.org/wiki/Eijirō

    Eijirō (英辞郎) is a large database of EnglishJapanese translations. It is developed by the editors of the Electronic Dictionary Project and aimed at translators. Although the contents are technically the same, EDP refers to the accompanying JapaneseEnglish database as Waeijirō (和英辞郎).

  6. Comparison of machine translation applications - Wikipedia

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

    Neural machine translation models available through the Watson Language Translator API for developers ... Free open source; ... English: Japanese: No: No: No: ⇆ ...

  7. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    Papago ended its trial phase and officially launched on July 19, 2017, with translation options for Korean, Japanese, Chinese, English, Spanish, and French. [2] It was only available as a smartphone app but it has since launched its own website and has expanded to other languages.

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