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Google unveils MuRIL tech to boost Indian regional language internet ecosystem- Technology News, Firstpost


Google unveils MuRIL tech to boost Indian regional language internet ecosystem
MuRIL will work for more than a dozen Indian languages like Assamese, Bengali, English, Gujarati, Hindi, Kannada, Kashmiri etcetera.
Dec 22, 2020 18:01:29 IST
Earlier this year in July, Google had announced its $10 billion digitization fund for India in its Google for India 2020 event for the next five to seven years and one of the main focus areas of this fund was investing in the Indian language internet ecosystem to improve penetration of digital services and products. In accordance with this, Google India has unveiled a new artificial intelligence (AI) powered model called Multilingual Representations for Indian Languages, short for, MuRIL to improve interoperability of web services in 16 Indian languages. ....

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Google expands languages push to serve non-English speakers in India


Google expands languages push to serve non-English speakers in India
18th Dec 2020    |    Source: TechCrunch
There are over 600 million internet users in India, but only a fraction of this population is fluent in English. Most online services and much of the content on the web currently, however, are available exclusively in English.
This language barrier continues to contribute to a digital divide in the world’s second largest internet market that has limited hundreds of millions of users’ rendition of the world wide web to a select few websites and services.
So it comes as no surprise that American tech giants, which are counting on emerging markets such as India to continue their growth. are increasingly attempting to make the web and their services accessible to more people. ....

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Google Search to now show results in relevant Indian language even if you type in English characters


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The feature will roll out in five Indian languages first: Hindi, Bangla, Tamil, Telugu and Marathi. Further, Google is extending the ability to toggle for Search results between English and regional languages to four more Indian languages. These are Tamil, Telugu, Bangla and Marathi. The feature was originally launched four years back.
Further, the Google Maps app will now support Indian languages. Nine Indian languages will be supported in the Maps app. Users will be able to to the language settings in the app and search for places, get directions in their preferred language.
Google is also adding the ability to get help with homework help in Hindi, which is a feature available with the Google Lens. According to the company, India is the number one market for the usage of Google Lens. ....

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Google makes fresh bid to understand and enhance Indian languages experience


Google makes fresh bid to understand and enhance Indian languages experience
Google has developed a new language solution called Multilingual Representations for Indian Languages (MuRIL) to help computer systems understand Indian languages at scale
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In a boost to regional language Internet users in India, Google has rolled out new language-centric features in Search, Maps and Lens. Also, Google has developed a new language solution called Multilingual Representations for Indian Languages (MuRIL) to help computer systems understand Indian languages at scale.
Starting today, Google Search will show content in Indian languages where appropriate, even if the local language query is typed in English. This is aimed at bilingual users and will work in five Indian languages Hindi, Bangla, Marathi, Tamil, and Telugu. ....

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Google India: Google aims to help researchers, startups better understand Indian languages


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On Thursday, Google has unveiled a machine learning tool for Indian languages to help researchers, students, and startups keen on building local language technologies with a common framework across several languages in the country.
Called Multilingual Representations for Indian Languages (MuRIL), the model aims to address concerns around Indian language understanding of computer systems, including all of its complexities like transliteration, spelling variations, mixed languages and other specific use cases that emerge in the Indian context. It also supports transliterated text such as writing Hindi using Roman script.
MuRIL was developed at Google s India research unit and currently supports 16 local languages and English, which the company says is the highest coverage for Indian languages among other publicly available machine learning models of its kind. ....

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