37.2264, Software: NE-Embed: Multilingual Sentence Embedding Model for Northeast Indian Languages

[The LINGUIST List]

LINGUIST List: Vol-37-2264. Mon Jul 06 2026. ISSN: 1069 - 4875.

Subject: 37.2264, Software: NE-Embed: Multilingual Sentence Embedding Model for Northeast Indian Languages

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Date: 03-Jul-2026
From: Badal Nyalang [nyalang at mwirelabs.com]
Subject: NE-Embed: Multilingual Sentence Embedding Model for Northeast Indian Languages


NE-Embed is an open-source multilingual sentence embedding model
developed by MWire Labs for Northeast Indian languages. The model is
designed for semantic search, dense retrieval, retrieval-augmented
generation (RAG), multilingual information retrieval, cross-lingual
search, text similarity, clustering, duplicate detection, and
AI-powered knowledge retrieval in low-resource languages.
Built on the LaBSE architecture and fine-tuned using more than 201,000
English–Northeast Indian parallel sentence pairs, NE-Embed supports
Assamese, Bodo, Garo, Khasi, Meitei (Manipuri), Mizo, Nyishi,
Kokborok, Pnar, and Nagamese. The model is intended for researchers,
developers, digital humanities projects, government applications,
educational technology, and organizations building multilingual AI
systems for Northeast India.
NE-Embed is released under the Creative Commons Attribution 4.0
International (CC BY 4.0) license.
Model and documentation: https://huggingface.co/MWirelabs/ne-embed

Linguistic Field(s): Applied Linguistics
                     Computational Linguistics
                     Semantics

Subject Language(s): Assamese (asm, assa1263)
                     Garo (grt, garo1247)
                     Khasi (kha, khas1269)
                     Lushai (lus, lush1249)
                     Pnar (pbv, pnar1238)

Language Family(ies): Austro-Asiatic
                      Indo-Aryan (indo1321)
                      Tibeto-Burman



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