New Delhi, April 16 ,2020: 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.
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 Swift key keyboard.
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.
Sundar
Srinivasan, General Manager, Microsoft India (R&D)
Pvt. Ltd., said, “We’re 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. We have supported Indian languages
in computing for over two decades, and more recently have made significant
strides on machine translation across languages. With this release, we are
bringing in cutting edge machine learning tech
to democratize access to information for everyone in India,”
Bringing Deep Neural Networks to
language translation
Since early 2000s, Microsoft has been pioneering the
traditional Statistical Machine Translation (SMT) paradigm to translate global
as well as Indian languages. The incorporation of Deep Neural Networks into
translating complex Indian languages brings more accuracy and fluency to
translation.While SMT is limited to translating a word within the local context
of a few surrounding words, Deep Neural Networks has the capability of encoding
more granular concepts like gender (feminine, masculine, neutral), politeness
level (slang, casual, written, formal), and type of word (verb, noun,
adjective). Microsoft continuously iterates the translation models keeping in
mind tech advancement and usage, and releases newer and improved versions to
all its users in a transparent manner. You can learn more about Microsoft Translator
here.
Microsoft
and Local Language computing: Microsoft has been consistently
working to provide local language computing in Indian languages for over two decades
since the launch of Project Bhasha in 1998,
allowing users to input localized text easily and quickly using the Indian
Language Input tool. Microsoft also announced support for email addresses in multiple Indian languages across
most of its email apps and services. Through its global Local Language Program (LLP),
Microsoft provides people access to technology in their native language.