{"data": {"schema": "publicfeed.update.v1", "id": "PIB-2328087", "url": "https://publicfeed.in/orders/PIB-2328087", "headline": "Digital India BHASHINI showcases AI tools to make academic research available in Indian languages", "summary": "The Digital India BHASHINI Division of the Ministry of Electronics and Information Technology announced on 24 October 2026 its participation in the ETD-2026 symposium at IIT Delhi. The division demonstrated AI capabilities, including speech-to-text and document translation, to help higher education institutions and research repositories overcome language barriers in academic content. These tools support 36 Indian languages for text and 23 for voice, with a specific focus on translating lengthy academic documents like theses and dissertations. The release does not say when these collaborations take effect, but invites academic organisations to explore partnerships.", "key_points": ["Supports 36 Indian languages for text and 23 Indian languages for voice", "AI translation plugin currently enables multilingual access for over 800 government websites", "BHASHINI Pragati can process large documents spanning 100 to 500 pages", "Over 10 billion cumulative AI inferences have been recorded", "Invites universities and libraries to collaborate on domain-specific language resources"], "issued_date": "2026-10-24", "listing_date": "2026-10-24", "document": {"form": "Press release", "number": "2328087", "type": "Press release", "legal_character": "informational_communication", "functions": ["announces"], "cites": []}, "issuer": "Digital India BHASHINI Division (DIBD), under Digital India Corporation (DIC), Ministry of Electronics and Information Technology (MeitY)", "department": "Ministry of Electronics & IT", "source": {"key": "pib", "name": "Press Information Bureau", "site": "pib.gov.in", "official_url": "https://www.pib.gov.in/PressReleseDetail.aspx?PRID=2328087"}, "topics": ["artificial intelligence", "multilingual translation", "higher education", "research"], "reader_topics": ["Education & exams"], "intent": "updates", "states": [], "national": true, "places": ["India"], "applies_to": ["higher education institutions, research repositories, libraries and academic organisations"], "dates": [{"kind": "event", "date": "2026-10-23", "wording": "from 23 to 25 October 2026", "what": "29th International Symposium on Electronic Theses and Dissertations (ETD-2026)", "counts_from": null}], "revision": "0955fc662d1b1296", "recorded_at": "2026-10-24T16:40:57.542073+00:00", "provenance": {"method": "ai_summary", "automated_check": "pass", "human_review": "pending"}}, "meta": {"schema": "publicfeed.update.v1", "count": 1, "next": null, "plan": "free", "feed_updated_at": "2026-10-24T18:55:15.721269+00:00", "generated_at": "2026-10-24T19:42:32+00:00"}, "attribution": "Data: PublicFeed (https://publicfeed.in), summarising official documents linked in each record. Summaries are AI-generated and not legal advice; the official original is the authority.", "license": "https://publicfeed.in/terms#data-licence"}