---
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)

> [!NOTE]
> 📄Paper [arXiv](https://arxiv.org/abs/2509.05146) | 💻Code [GitHub](https://github.com/BITHLP/PRIM) | 🤗Training set [HuggingFace](https://huggingface.co/datasets/yztian/MTedIIMT) | 🤗Model [HuggingFace](https://huggingface.co/yztian/VisTrans)

## Introduction

This repository provides the **PRIM benchmark**, which is introduced in our paper PRIM: Towards Practical In-Image Multilingual Machine Translation.

PRIM (**Pr**actical In-**I**mage **M**ultilingual 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:

```bibtex
@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