@inproceedings{feng-etal-2025-multimodal,
    title = "Multimodal Neural Machine Translation: A Survey of the State of the Art",
    author = "Feng, Yi  and
      Li, Chuanyi  and
      He, Jiatong  and
      Hou, Zhenyu  and
      Ng, Vincent",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.1125/",
    pages = "22141--22158",
    ISBN = "979-8-89176-332-6",
    abstract = "Multimodal neural machine translation (MNMT) has received increasing attention due to its widespread applications in various fields such as cross-border e-commerce and cross-border social media platforms. The task aims to integrate other modalities, such as the visual modality, with textual data to enhance translation performance. We survey the major milestones in MNMT research, providing a comprehensive overview of relevant datasets and recent methodologies, and discussing key challenges and promising research directions."
}