license: mit
task_categories:
- translation
language:
- en
- de
- fr
- cs
- ro
- ru
pretty_name: PRIM
PRIM: Towards Practical In-Image Multilingual Machine Translation (EMNLP 2025 Main)
📄Paper arXiv | 💻Code GitHub | 🤗Training set HuggingFace | 🤗Model HuggingFace
Introduction
This repository provides the PRIM benchmark, which is introduced in our paper PRIM: Towards Practical In-Image Multilingual Machine Translation.
PRIM (Practical In-Image Multilingual Machine Translation) is the first publicly available benchmark captured from real-word images for In-Image machine Translation.
The source images are collected from [1] and [2]. We sincerely thank the authors of these datasets for making their data available.
Citation
If you find our work helpful, we would greatly appreciate it if you could cite our paper:
@misc{tian2025primpracticalinimagemultilingual,
title={PRIM: Towards Practical In-Image Multilingual Machine Translation},
author={Yanzhi Tian and Zeming Liu and Zhengyang Liu and Chong Feng and Xin Li and Heyan Huang and Yuhang Guo},
year={2025},
eprint={2509.05146},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2509.05146},
}
[1] Modal Contrastive Learning Based End-to-End Text Image Machine Translation
[2] MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation