@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://preview.aclanthology.org/revision-workflow/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"
}