Microsoft Added 5 New Indian Languages to Microsoft Translator

News Desk, News Nation 360 : Microsoft India has announced that Microsoft Translator will now offer real-time translation in five additional languages viz., Gujarati, Marathi, Kannada, Malayalam and Punjabi. This takes the total number of Indian languages supported to 10, including Bengali, Hindi, Tamil, Telugu, and Urdu. With this, the service will now allow over 90% of Indians to access information and work in their native/preferred languages, making computing language-agnostic and more inclusive in the country. For organizations of all sizes, Microsoft provides APIs on Azure that they can use in their products to conduct their business across the country and globally in different languages. Businesses can easily integrate the Microsoft Translator text translation API into their applications websites, tools, or any solution requiring multi-language support, including e-content translation, e-commerce product catalogues, product documentation and internal communication among others. The Microsoft Translator service is part of the Azure Cognitive Services API collection of machine learning and AI algorithms. Language translation is a core part of Microsoft products and services. Users can avail the benefits of AI and Deep Neural Networks-enhanced, real-time translation in all these languages while using Bing and the Microsoft Translator website, as well as the Microsoft Translator App for Android, IOS and Windows. The Microsoft Translator app can recognize and translate languages from text, speech and even photos. Microsoft is also rolling out support for these languages in the Microsoft Office 365 and the Swiftkey keyboard. Sundar Srinivasan, General Manager, Microsoft India (R&D) Pvt. Ltd., said that they are committed to empower every Indian and every business in India by bringing the power of AI into their daily life. Microsoft celebrates the diversity of languages in India and wants to make the vast Internet even more accessible. They have supported Indian languages in computing for over two decades, and more recently have made significant strides on machine translation across languages.

Report : Anustup Kundu

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