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yztian/PRIM

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Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 58c88a8
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Citation text from the card

@inproceedings{tian-etal-2025-prim,
    title = "{PRIM}: Towards Practical In-Image Multilingual Machine Translation",
    author = "Tian, Yanzhi  and
      Liu, Zeming  and
      Liu, Zhengyang  and
      Feng, Chong  and
      Li, Xin  and
      Huang, Heyan  and
      Guo, Yuhang",
    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://aclanthology.org/2025.emnlp-main.691/",
    pages = "13693--13708",
    ISBN = "979-8-89176-332-6",
    abstract = "In-Image Machine Translation (IIMT) aims to translate images containing texts from one language to another. Current research of end-to-end IIMT mainly conducts on synthetic data, with simple background, single font, fixed text position, and bilingual translation, which can not fully reflect real world, causing a significant gap between the research and practical conditions. To facilitate research of IIMT in real-world scenarios, we explore Practical In-Image Multilingual Machine Translation (IIMMT). In order to convince the lack of publicly available data, we annotate the PRIM dataset, which contains real-world captured one-line text images with complex background, various fonts, diverse text positions, and sup

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dataset_licence({ "id": "yztian/PRIM" })
signal: "permissive"
stated_licence: "mit"
sources: 0