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Google's Translate service, which uses company's neural machine translation technology, now supports nine Indian languages - Hindi, Bengali, Marathi, Tamil, Telugu, Gujarati, Punjabi, Malayalam, and Kannada.

India today has 234 million Indian language users who are online, compared to 175 million English web users.

Google, via an official announcement today, is debuting its highly scrupulous "Neural Machine Translation" tech to Indian languages. Neural translation offers improvement over the old phrase-based system, translating full sentences at a time, instead of pieces of a sentence. Marathi, Bengali, Tamil and Telugu will form 30% of the total Indian language internet user base.

"We expect another 300 million Indian language users to come online in the next four years".

On the behavioural aspects, the report highlighted that 99% of Indian language users access internet through their mobile devices.

"About 35% of Indian language internet users access government services, classifieds, news and payment services exclusively online".

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Google said it does one billion translations everyday and 95% of Google Translate has its usage outside of the US. Most people will see the translated review in the language they prefer and then see the review in the native language below-eliminating the hassle of copying and pasting into a translation app or trying to decipher reviews using your pocket-sized translation book.

The company announced that it has launched "Gboard", its latest keyboard with speed and reliability, with added features like glide typing, voice typing, and more-plus Google Search built in.

The feature may be relatively minor in the grand scheme of things, but could turn users away from other travel apps offering local reviews in favor of Google Search.

Google India has also unwrapped the new Hindi dictionary in Google Search - a collaboration with Google and Oxford University Press.

The report titled "Indian Languages - Defining India's Internet" throws light on the various challenges faced by internet users in India with the most prominent being the lack of content available in regional languages.