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  2. 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 ...

  3. Microsoft Bing - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Bing

    Bing Translator is a user facing translation portal provided by Microsoft to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator , a statistical machine translation platform and web service, developed by Microsoft Research , as its backend translation software.

  4. Comparison of machine translation applications - Wikipedia

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

    Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No: 100+ Statistical and neural machine translation: Moses: Cross-platform: LGPL: No fee required: 4.0 [6] Yes: Drop-in replacement for Pharaoh, features factored translation models and decoding of confusion networks. Moses for Mere Mortals: Ubuntu Linux: GPL ...

  5. Babel Fish (website) - Wikipedia

    en.wikipedia.org/wiki/Babel_Fish_(website)

    Yahoo! Babel Fish was a free Web-based machine translation service by Yahoo!. In May 2012 it was replaced by Bing Translator (now Microsoft Translator), to which queries were redirected. [1] Although Yahoo! has transitioned its Babel Fish translation services to Bing Translator, it did not sell its translation application to Microsoft outright.

  6. Skype Translator - Wikipedia

    en.wikipedia.org/wiki/Skype_Translator

    Skype Translator was built on developments in deep neural networks [3] [4] for speech recognition and Microsoft Translator's statistical machine translation [5] [6] technology. Users converse in their native languages, and the speech is translated from one language to the other in “near real-time”, [ 7 ] [ 8 ] with the output translation ...

  7. Japanese honorifics - Wikipedia

    en.wikipedia.org/wiki/Japanese_honorifics

    The Japanese language makes use of a system of honorific speech, called keishō (敬称), which includes honorific suffixes and prefixes when talking to, or referring to others in a conversation. Suffixes are often gender-specific at the end of names, while prefixes are attached to the beginning of many nouns.

  8. Microsoft Copilot - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Copilot

    Japanese researchers compared Japanese-to-English translation abilities of Copilot, ChatGPT with GPT-4, and Gemini with those of DeepL, and found similar results, noting that "AI chatbots' translations were much better than those of DeepL—presumably because of their ability to capture the context". [85]

  9. Klingon language - Wikipedia

    en.wikipedia.org/wiki/Klingon_language

    Microsoft's Bing Translator attempts to translate Klingon from and to other languages. [43] [44] It can do a good job with individual words, and with phrases included in its training corpus, but it is not well tuned for Klingon's system of prefixes and suffixes. For example, DaHaDnIS "You must study it" is rendered instead as "They Must Study."