@inproceedings{nyalang-2026-ne-lid,
title = "{NE}-{LID}: A Fast and Accurate Language Identification System for {N}ortheast {I}ndian Languages",
author = "Nyalang, Badal",
editor = "Jha, Girish Nath and
Bali, Kalika and
L, Sobha and
Kumar, Devendr",
booktitle = "Proceedings of the 8th Workshop on {I}ndian Language Data: Resources and Evaluation",
month = may,
year = "2026",
address = "Palma, Mallorca, Spain",
publisher = "ELRA Language Resources Association (ELRA)",
url = "https://aclanthology.org/2026.wildre-1.14/",
doi = "10.63317/2q69fiyg73p6",
pages = "104--108",
abstract = "Language identification (LID) is crucial for natural language processing systems, yet Northeast Indian languages remain severely underserved by existing multilingual LID models. We present NE-LID, a fast and accurate language identification system specifically designed for eleven languages of Northeast India. Built using character n-gram features with fastText, NE-LID achieves 99.09{\%} accuracy on a balanced test set, significantly outperforming existing multilingual systems including GlotLID (73.12{\%}), OpenLID (42.03{\%}), IndicLID (39.30{\%}), and LangDetect (24.33{\%}). Our model processes predictions in 0.084 milliseconds on average, enabling real-time applications. We demonstrate that character-level modeling outperforms transformer-based approaches for script-diverse, low-resource languages"
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%0 Conference Proceedings
%T NE-LID: A Fast and Accurate Language Identification System for Northeast Indian Languages
%A Nyalang, Badal
%Y Jha, Girish Nath
%Y Bali, Kalika
%Y L, Sobha
%Y Kumar, Devendr
%S Proceedings of the 8th Workshop on Indian Language Data: Resources and Evaluation
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca, Spain
%F nyalang-2026-ne-lid
%X Language identification (LID) is crucial for natural language processing systems, yet Northeast Indian languages remain severely underserved by existing multilingual LID models. We present NE-LID, a fast and accurate language identification system specifically designed for eleven languages of Northeast India. Built using character n-gram features with fastText, NE-LID achieves 99.09% accuracy on a balanced test set, significantly outperforming existing multilingual systems including GlotLID (73.12%), OpenLID (42.03%), IndicLID (39.30%), and LangDetect (24.33%). Our model processes predictions in 0.084 milliseconds on average, enabling real-time applications. We demonstrate that character-level modeling outperforms transformer-based approaches for script-diverse, low-resource languages
%R 10.63317/2q69fiyg73p6
%U https://aclanthology.org/2026.wildre-1.14/
%U https://doi.org/10.63317/2q69fiyg73p6
%P 104-108
Markdown (Informal)
[NE-LID: A Fast and Accurate Language Identification System for Northeast Indian Languages](https://aclanthology.org/2026.wildre-1.14/) (Nyalang, WILDRE 2026)
ACL