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@inproceedings{nyalang-2026-ne-agent,
    title = "{NE}-Agent: Bringing Agentic {AI} to {N}ortheast {I}ndia{'}s Low-Resource Languages",
    author = "Nyalang, Badal",
    editor = "Zhang, Ningyu  and
      Wijaya, Derry",
    booktitle = "Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the {A}sia-Pacific Chapter of the {A}ssociation for {C}omputational {L}inguistics: System Demonstrations",
    month = nov,
    year = "2026",
    address = "Hengqin, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.aacl-demo.4/",
    pages = "25--32",
    ISBN = "979-8-89176-441-5",
    abstract = "Northeast India is home to over 220 indigenous languages, yet none are served by existing agentic AI systems. NE-Agent addresses this gap: a terminal-based agentic system that integrates the NE-Stack, a suite of purpose-built language AI components for Northeast India, into a unified conversational pipeline that dynamically selects between retrieval, translation, and transcription tools based on the user{'}s query. The system combines language identification across 11 languages (NE-LID), multilingual dense retrieval (NE-Embed, a LaBSE-based model fine-tuned for 10 Northeast Indian languages), Khasi-to-English translation (fine-tuned NLLB), speech transcription across eight languages (NE-ASR), and generation via a locally-hosted open-source LLM, requiring no API keys or cloud infrastructure. A lightweight LLM-based tool router dispatches each query to the appropriate tool, distinguishing NE-Agent from purely retrieval-augmented systems. NE-Agent is open-source, pip-installable (pip install ne-agent), and ships with a multilingual corpus spanning four languages. To our knowledge, it is the first publicly available agentic system built on indigenous Northeast Indian language AI infrastructure: https://github.com/MWirelabs/ne-agent."
}

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            <namePart type="given">Ningyu</namePart>
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    <abstract>Northeast India is home to over 220 indigenous languages, yet none are served by existing agentic AI systems. NE-Agent addresses this gap: a terminal-based agentic system that integrates the NE-Stack, a suite of purpose-built language AI components for Northeast India, into a unified conversational pipeline that dynamically selects between retrieval, translation, and transcription tools based on the user’s query. The system combines language identification across 11 languages (NE-LID), multilingual dense retrieval (NE-Embed, a LaBSE-based model fine-tuned for 10 Northeast Indian languages), Khasi-to-English translation (fine-tuned NLLB), speech transcription across eight languages (NE-ASR), and generation via a locally-hosted open-source LLM, requiring no API keys or cloud infrastructure. A lightweight LLM-based tool router dispatches each query to the appropriate tool, distinguishing NE-Agent from purely retrieval-augmented systems. NE-Agent is open-source, pip-installable (pip install ne-agent), and ships with a multilingual corpus spanning four languages. To our knowledge, it is the first publicly available agentic system built on indigenous Northeast Indian language AI infrastructure: https://github.com/MWirelabs/ne-agent.</abstract>
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        <date>2026-11</date>
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%0 Conference Proceedings
%T NE-Agent: Bringing Agentic AI to Northeast India’s Low-Resource Languages
%A Nyalang, Badal
%Y Zhang, Ningyu
%Y Wijaya, Derry
%S Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2026
%8 November
%I Association for Computational Linguistics
%C Hengqin, China
%@ 979-8-89176-441-5
%F nyalang-2026-ne-agent
%X Northeast India is home to over 220 indigenous languages, yet none are served by existing agentic AI systems. NE-Agent addresses this gap: a terminal-based agentic system that integrates the NE-Stack, a suite of purpose-built language AI components for Northeast India, into a unified conversational pipeline that dynamically selects between retrieval, translation, and transcription tools based on the user’s query. The system combines language identification across 11 languages (NE-LID), multilingual dense retrieval (NE-Embed, a LaBSE-based model fine-tuned for 10 Northeast Indian languages), Khasi-to-English translation (fine-tuned NLLB), speech transcription across eight languages (NE-ASR), and generation via a locally-hosted open-source LLM, requiring no API keys or cloud infrastructure. A lightweight LLM-based tool router dispatches each query to the appropriate tool, distinguishing NE-Agent from purely retrieval-augmented systems. NE-Agent is open-source, pip-installable (pip install ne-agent), and ships with a multilingual corpus spanning four languages. To our knowledge, it is the first publicly available agentic system built on indigenous Northeast Indian language AI infrastructure: https://github.com/MWirelabs/ne-agent.
%U https://aclanthology.org/2026.aacl-demo.4/
%P 25-32

Markdown (Informal)

[NE-Agent: Bringing Agentic AI to Northeast India’s Low-Resource Languages](https://aclanthology.org/2026.aacl-demo.4/) (Nyalang, AACL-IJCNLP 2026)

ACL

Badal Nyalang. 2026. NE-Agent: Bringing Agentic AI to Northeast India’s Low-Resource Languages. In Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations, pages 25–32, Hengqin, China. Association for Computational Linguistics.