@inproceedings{kumar-etal-2025-team,
    title = "Team {I}ndi{D}ata{M}iner at {I}ndo{NLP} 2025: {H}indi Back Transliteration - {R}oman to {D}evanagari using {LL}a{M}a",
    author = "Kumar, Saurabh  and
      Kakadiya, Dhruvkumar Babubhai  and
      Singh, Sanasam Ranbir",
    editor = "Weerasinghe, Ruvan  and
      Anuradha, Isuri  and
      Sumanathilaka, Deshan",
    booktitle = "Proceedings of the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages",
    month = jan,
    year = "2025",
    address = "Abu Dhabi",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.indonlp-1.15/",
    pages = "129--134",
    abstract = "The increasing use of Romanized typing for Indo-Aryan languages on social media poses challenges due to its lack of standardization and loss of linguistic richness. To address this, we propose a sentence-level back-transliteration approach using the LLaMa 3.1 model for Hindi. Leveraging fine-tuning with the Dakshina dataset, our approach effectively resolves ambiguities in Romanized Hindi text, offering a robust solution for converting it into the native Devanagari script."
}