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Google DeepMind's Morni AI to cover 125 Indic languages
Google DeepMind's India unit is working on an Indic language AI project called Morni (Multimodal Representation for India) which aims to cover 125 Indian languages and dialects to build inclusive and equitable Indic AI. "So India has 22 scheduled languages, which are viewed as official languages.
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Google DeepMind's Morni AI to cover 125 Indic languages
Speaking at the Global Fintech Fest, Manish Gupta, Director of Google DeepMind, Google India, said 73 out of these 125 languages had zero corpus of digital data available.Google DeepMind's India unit is working on an Indic language AI project called Morni (Multimodal Representation for India) which
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Google DeepMind introduces Morni AI, a groundbreaking language model designed to support 125 Indic languages. This innovation aims to enhance digital inclusion and preserve linguistic diversity in India.

In a significant leap towards linguistic inclusivity, Google DeepMind has introduced Morni AI, a cutting-edge language model designed to support an impressive array of 125 Indic languages
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. This groundbreaking development marks a pivotal moment in the realm of artificial intelligence and language processing, particularly for the diverse linguistic landscape of India.Morni AI's primary objective is to bridge the digital divide by providing support for languages that have historically been underrepresented in the digital sphere. By encompassing such a wide range of Indic languages, the model aims to make digital content and services more accessible to millions of users across India who primarily communicate in regional languages
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.The development of Morni AI leverages advanced machine learning techniques and vast datasets to create a model capable of understanding and generating content in multiple Indic languages. This technological feat represents a significant advancement in natural language processing, particularly for languages with limited digital resources
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.One of the key aspects of Morni AI is its potential to contribute to the preservation and promotion of India's rich linguistic heritage. By providing robust support for numerous regional languages, the model could play a crucial role in maintaining linguistic diversity in the digital age, ensuring that even less commonly spoken languages have a place in the evolving digital landscape
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The introduction of Morni AI is expected to have far-reaching implications for India's technology ecosystem. It could potentially catalyze the development of more localized digital services, applications, and content, fostering innovation and entrepreneurship in the Indian tech sector
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.While Morni AI represents a significant breakthrough, it also faces challenges such as ensuring accuracy across all 125 languages and addressing potential biases in language processing. The future development and refinement of this technology will be crucial in realizing its full potential for digital inclusion and linguistic preservation in India
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