@inproceedings{ibrahim-2025-cufe-nlu,
    title = "{CUFE}@{NLU} of {D}evanagari Script Languages 2025: Language Identification using fast{T}ext",
    author = "Ibrahim, Michael",
    editor = "Sarveswaran, Kengatharaiyer  and
      Vaidya, Ashwini  and
      Krishna Bal, Bal  and
      Shams, Sana  and
      Thapa, Surendrabikram",
    booktitle = "Proceedings of the First Workshop on Challenges in Processing South Asian Languages (CHiPSAL 2025)",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "International Committee on Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2025.chipsal-1.30/",
    pages = "273--277",
    abstract = "Language identification is a critical area of research within natural language processing (NLP), particularly in multilingual contexts where accurate language detection can enhance the performance of various applications, such as machine translation, content moderation, and user interaction systems. This paper presents a language identification system developed using fastText. In the CHIPSAL@COLING 2025 Task on Devanagari Script Language Identification, the proposed method achieved first place, with an F1 score of 0.9997."
}