IIT Madras staff create Artificial Intelligence models and datasets to handle text in 11 Indian languages

Indian Institute of Technology Madras (IIT-M) faculty have created Artificial Intelligence (AI) models and datasets to deal with texts in 11 Indian languages. As indicated by an announcement gave by the institute, this was taken up mutually with ‘AI4Bharat,’ a platform for building AI solutions for neighborhood issues.

Expounding on this activity, Mitesh M Khapra, department of Computer Science and Engineering, stated, “As we move towards a digital economy, it is important that our languages find a space online. This requires a lot of innovation in creating input tools, datasets, and AI models for Indian languages.”

For instance, envision a student who posts an inquiry on an e-learning platform in Tamil, Hindi or another Indian regional language. There is a requirement for tools that can automatically process such inquiries written in Indian languages and group them into explicit topics.

They released AI models and datasets for the accompanying dialects: Tamil, Hindi, Malayalam, Telugu, Kannada, Punjabi, Bengali, Odia, Assamese, Gujarati, and Marathi. The announcement included that a going with research paper depicting the research systems and evaluation has been acknowledged at EMNLP-Findings – a buddy publication at one of the top Natural Language Processing conferences.

AI4Bharat is an activity co-founded by Khapra and Pratyush Kumar from IIT-M and attempts to solve India explicit issues in a community-driven, open-sourced way. They are likewise connected with the Robert Bosch Center for Data Science and Artificial Intelligence.

For as long as one year, a group of scientists including understudies, workforce and volunteers from IIT Madras and AI4Bharat dealt with gathering information and training amazing models for handling text written in Indian languages, the announcement stated, including that the AI took advantage of the likenesses between Indian languages to use information.

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