Author

Ronit Ghode

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Preprint Jul 2026

BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi

It is demonstrated that task-specific, language-focused models trained on domain-relevant data remain more effective than general-purpose LLMs for Marathi NER, highlighting the continued importance of specialized architectures for low-resource language processing.

Hariom Ingle, Ronit Ghode, Ishwari Gondkar et al. · 0 citations