Badal Nyalang

About

Independent researcher at MWire Labs, working on Artificial Intelligence and Natural Language Processing for underserved languages of Northeast India. My research focuses on low-resource NLP, transformer models, and AI for indigenous knowledge, education, and digital inclusion

Employment

• MWire labs Lead Researcher

Education

• Indian Institute of Technology Guwahati Advanced Certification in Data Science, Machine Learning, and AI
  2025 - Present
• St.Edmund's College B.Sc.
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Building Neural Machine Translation for Garo: Corpus, Ablation, and Agentic Reranking
  2026 DOI: 10.20944/preprints202604.0370.v1
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• Towards High-Quality Machine Translation for Kokborok: A Low-Resource Tibeto-Burman Language of Northeast India
  2026 DOI: 10.20944/preprints202603.2322.v1
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• NE-OCR: Unified Optical Character Recognition for 10 Languages of Northeast India
  2026 DOI: 10.21203/rs.3.rs-9167777/v1
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• Towards Speech Technology for Garo: A Low-Resource ASR System via Multilingual Transfer
  2026 DOI: 10.20944/preprints202602.0686.v1
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• A Transformer-Based Language Model for Nyishi, a Low-Resource Language of Northeast India
  2026 DOI: 10.21203/rs.3.rs-8544228/v1
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• Beyond Multilinguality: Typological Limitations in Multilingual Models for Meitei Language
  Proceedings of the Workshop on Research in Computational Linguistic Typology and Multilingual NLP 2026 DOI: 10.18653/V1/2026.SIGTYP-MAIN.5
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• Why Multilingual Transformers Fail for Khasi: A Linguistic Analysis of Low-Resource Austroasiatic AI Gaps
  Advances in Social Science, Education and Humanities Research 2025 DOI: 10.2991/978-2-38476-533-1_6
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• NE-BERT: A Multilingual Language Model for 9 Northeast Indian Languages
  2025 DOI: 10.20944/preprints202511.1663.v1
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• AssameseRoBERTa: A Monolingual Language Model for Low-Resource Assamese NLP
  2025 DOI: 10.21203/rs.3.rs-8124065/v1
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• Kren-NE: A Multilingual Tokenization Framework for Northeast Indian Languages
  2025 DOI: 10.36227/techrxiv.176184636.69664258/v1
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