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Santali Translation and Tutor App During Language Extinction Crisis


Authors : Jawad P. K.; Mohammed Muhsin K. T.; Mohammed Faseeh N. K.; Fahma Sanah M.; Sukhil M.; Souparnika M. P.

Volume/Issue : Volume 11 - 2026, Issue 7 - July


Google Scholar : https://tinyurl.com/54h973df

Scribd : https://tinyurl.com/2sex7ymc

DOI : https://doi.org/10.38124/ijisrt/26jul1195

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : To overcome the critical indigenous language extinction crisis affecting 7.6 million Santali speakers across eastern India, Bangladesh, and Nepal, this research proposes a comprehensive AI-powered mobile application framework systematically addressing systematic digital exclusion. Despite constitutional Eighth Schedule recognition (2003), Santali confronts complete absence from commercial translation services (Google Translate, Microsoft Translator), negligible Unicode Ol Chiki script implementation across 96% mobile platforms, and total lack of structured pedagogical digital resources serving 42% illiterate demographic. The proposed Santali Translation and Tutor App implements real-time bidirectional translation powered by Google Gemini 2.5 Flash model achieving state-of-the-art 32.6 BLEU score with 96.5% native Ol Chiki script compliance through specialized three-tier prompt engineering cascade.

Keywords : Santali Language Preservation, Ol Chiki Script Automation, Low-Resource Machine Translation, Flutter Crossplatform Development, CEFR-Aligned Mobile Pedagogy, Indigenous Language Revitalization, AI Prompt Engineering, Dialect Priority Systems.

References :

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To overcome the critical indigenous language extinction crisis affecting 7.6 million Santali speakers across eastern India, Bangladesh, and Nepal, this research proposes a comprehensive AI-powered mobile application framework systematically addressing systematic digital exclusion. Despite constitutional Eighth Schedule recognition (2003), Santali confronts complete absence from commercial translation services (Google Translate, Microsoft Translator), negligible Unicode Ol Chiki script implementation across 96% mobile platforms, and total lack of structured pedagogical digital resources serving 42% illiterate demographic. The proposed Santali Translation and Tutor App implements real-time bidirectional translation powered by Google Gemini 2.5 Flash model achieving state-of-the-art 32.6 BLEU score with 96.5% native Ol Chiki script compliance through specialized three-tier prompt engineering cascade.

Keywords : Santali Language Preservation, Ol Chiki Script Automation, Low-Resource Machine Translation, Flutter Crossplatform Development, CEFR-Aligned Mobile Pedagogy, Indigenous Language Revitalization, AI Prompt Engineering, Dialect Priority Systems.

Paper Submission Last Date
31 - August - 2026

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