<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="nyalang-2026-ne-agent">
    <titleInfo>
        <title>NE-Agent: Bringing Agentic AI to Northeast India’s Low-Resource Languages</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Badal</namePart>
        <namePart type="family">Nyalang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>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</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Ningyu</namePart>
            <namePart type="family">Zhang</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Derry</namePart>
            <namePart type="family">Wijaya</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Hengqin, China</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-441-5</identifier>
    </relatedItem>
    <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>
    <identifier type="citekey">nyalang-2026-ne-agent</identifier>
    <location>
        <url>https://aclanthology.org/2026.aacl-demo.4/</url>
    </location>
    <part>
        <date>2026-11</date>
        <extent unit="page">
            <start>25</start>
            <end>32</end>
        </extent>
    </part>
</mods>
</modsCollection>

%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)

• NE-Agent: Bringing Agentic AI to Northeast India’s Low-Resource Languages (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.