Papers › Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation
Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation
Nithyasri Narasimhan, Sagarika Singh
In this project, we develop a practical and efficient solution for automating the Manhwa translation from Indonesian to English. Our approach combines computer vision, text recognition, and natural language processing techniques to streamline the traditionally manual process of Manhwa(Korean comics) translation. The pipeline includes fine-tuned YOLOv5xu for speech bubble detection, Tesseract for OCR and fine-tuned MarianMT for machine translation. By automating these steps, we aim to make Manhwa more accessible to a global audience while saving time and effort compared to manual translation methods. While most Manhwa translation efforts focus on Japanese-to-English, we focus on Indonesian-to-English translation to address the challenges of working with low-resource languages. Our model shows good results at each step and was able to translate from Indonesian to English efficiently.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Machine Translation | OpenSubtitles | Fine tuned MarianMT | BLEU score | 27 | #1 of 1 | Archive leaderboard | report |
| Machine Translation | OpenSubtitles | Fine tuned MarianMT | METEOR | 61 | #1 of 1 | Archive leaderboard | report |
| Object Detection | Fine tuned Yolov5xu | F1 Score | 90.7 | #1 of 2 | Archive leaderboard | report | |
| Object Detection | Fine tuned Yolov5xu | Mean Recall | 96.3 | #1 of 2 | Archive leaderboard | report | |
| Object Detection | Fine tuned Yolov5xu | Mean mAP | 88.9 | #1 of 2 | Archive leaderboard | report | |
| Object Detection | Fine tuned Yolov5xu | mAP@0.5 | 0.963 | #1 of 2 | Archive leaderboard | report | |
| Object Detection | Fine tuned Yolov5xu | mean precision | 89.4 | #1 of 2 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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