• DRISHYA BABURAJ
• Nandu C Nair

The classical language Tamil maintains strong global influence throughout various art forms including dance as well as literature music and sculpture. Digital representation of Tamil art vocabulary shows limited scope because it contributes to expanding divisions between digital and language skills. The proposed research introduces an innovative solution to establish bilingual linguistic resources by creating a cross-lingual linkage between English and Tamil technical vocabulary. A variety of art-related definitions and terms were obtained from original sources which included museum archives together with cultural blogs and folk literature as well as online glossaries. Our platform applies state-of-the-art Natural Language Processing (NLP) methods using mBART for machine translation while XLM-RoBERTa evaluates semantic similarity to generate translations that remain culturally appropriate and semantically consistent. The algorithm proceeds through multiple sequential steps that involve data cleaning followed by gloss check and embedding alignment before a full evaluation stage. The produced resource shows its success in preserving and digitizing Tamil art vocabulary through both human approval exceeding 93% and a BLEU score averaging at 0.63.

Digital Lnguage Divide, Low Resource Languages,Natural Language Translation

"Overcoming the Digital Language Divide: A BiLingual Lexicon for Tamil Art Preservation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.l418-l422, May-2025, Available :http://www.jetir.org/papers/JETIR2505C36.pdf

"Overcoming the Digital Language Divide: A BiLingual Lexicon for Tamil Art Preservation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppl418-l422, May-2025, Available at : http://www.jetir.org/papers/JETIR2505C36.pdf