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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]
Baraha is a word processing application for creating documents in Indian languages.It was developed by Sheshadrivasu Chandrasekharan with an intention to provide a software to enable and encourage Indians use their native languages on the computers.
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 ...
To check whether the processor can run the 64-bit of Windows 10, use these steps: Open Settings. Click on System. Click on About. Check the Installed RAM details.
The pre-installed Tibetan fonts in Windows Vista and Windows 7 known as "Microsoft Himalaya" is generally considered illegible because of their tiny default point. If desired the font may be replaced with a fix to the size - "Big Microsoft Himalaya". See Google Fonts - Tibetan or to replace "Microsoft Himalaya" with "Big Microsoft Himalaya".
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InScript (short for Indic Script) is the decreed standard keyboard layout for Indian scripts using a standard 104- or 105-key layout.This keyboard layout was standardised by the Government of India for inputting text in languages of India written in Brahmic scripts, as well as the Santali language, written in the non-Brahmic Ol Chiki script. [1]
Hinglish refers to the non-standardised Romanised Hindi used online, and especially on social media. In India, Romanised Hindi is the dominant form of expression online. In an analysis of YouTube comments, Palakodety et al., identified that 52% of comments were in Romanised Hindi, 46% in English, and 1% in Devanagari Hindi. [21]
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