Can maiBERT Speak for Maithili?

• URL: http://arxiv.org/abs/2509.15048v2
• Date: Mon, 22 Sep 2025 16:46:34 GMT
• Title: Can maiBERT Speak for Maithili?
• Authors: Sumit Yadav, Raju Kumar Yadav, Utsav Maskey, Gautam Siddharth Kashyap, Md Azizul Hoque, Ganesh Gautam,
• Abstract summary: Maithili, despite being spoken by millions, lacks adequate computational resources.<n>We introducemaiBERT, a BERT-based language model pre-trained specifically for Maithili.<n>Our model is trained on a newly constructed Maithili corpus and evaluated through a news classification task.
• Score: 2.0451307225357422
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Natural Language Understanding (NLU) for low-resource languages remains a major challenge in NLP due to the scarcity of high-quality data and language-specific models. Maithili, despite being spoken by millions, lacks adequate computational resources, limiting its inclusion in digital and AI-driven applications. To address this gap, we introducemaiBERT, a BERT-based language model pre-trained specifically for Maithili using the Masked Language Modeling (MLM) technique. Our model is trained on a newly constructed Maithili corpus and evaluated through a news classification task. In our experiments, maiBERT achieved an accuracy of 87.02%, outperforming existing regional models like NepBERTa and HindiBERT, with a 0.13% overall accuracy gain and 5-7% improvement across various classes. We have open-sourced maiBERT on Hugging Face enabling further fine-tuning for downstream tasks such as sentiment analysis and Named Entity Recognition (NER).

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