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Pages for logged out editors learn more. ... File:Section Translation Usability (Bengali) - Final Report.pdf. Add languages ... File; Talk; English. Read; View on ...
Indic Computing means "computing in Indic", i.e., Indian Scripts and Languages.It involves developing software in Indic Scripts/languages, Input methods, Localization of computer applications, web development, Database Management, Spell checkers, Speech to Text and Text to Speech applications and OCR in Indian languages.
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 ...
The content translation tool assists users in translating existing Wikipedia articles from one language to another. Users select an article in any language, then select another language, and the interface provides machine translation which the human user can then use as inspiration to make readable text in another language.
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.
A large library is situated at the Hindustani Academy where ancient books, literary works, and manuscripts are preserved. [6] In the Hindustani Academy library, there are 25,000 books available in Hindi, Urdu, Sanskrit, English, Bengali, Marathi, Gujarati, and other Indian languages.
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.
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.