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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 ...
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.
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.
Microsoft continues to build out Bing Translator with a new language: Star Trek's Klingon. Now, users can translate between Klingon and the other 41 languages Bing Translator supports. In a ...
Bing for mobile (formerly Live Search Mobile) is a search tool for handheld mobile devices from Microsoft as part of their Bing search engine. It is designed for mobile device displays. Bing Mobile is built into Windows Mobile and Windows Phone as proprietary software, accessed via the Search key on Windows Phone 7 and Windows Phone 8 devices.
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
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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 These methods have since been superseded by neural machine translation [1] and large language models ...