@inproceedings{parida-bojar-2025-findings,
    title = "Findings of {WAT}2025 {E}nglish-to-{I}ndic Multimodal Translation Task",
    author = "Parida, Shantipriya  and
      Bojar, Ond{\v{r}}ej",
    editor = "Nakazawa, Toshiaki  and
      Goto, Isao",
    booktitle = "Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)",
    month = dec,
    year = "2025",
    address = "Mumbai, India",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.wat-1.10/",
    pages = "103--108",
    ISBN = "979-8-89176-309-8",
    abstract = "This paper presents the findings of the English-to-Indic Multimodal Translation shared task from the Workshop on Asian Translation (WAT2025). The task featured three tracks: text-only translation, image captioning, and multimodal translation across four low-resource Indic languages: Hindi, Bengali, Malayalam, and Odia. Three teams participated, submitting systems that achieved competitive performance, with BLEU scores ranging from 40.1 to 64.3 across different language pairs and tracks."
}