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Yanzhi Tian

3 accepted papers

2025

Exploring In-Image Machine Translation with Real-World Background

ACL 2025finding

In-Image Machine Translation (IIMT) aims to translate texts within images from one language to another. Previous research on IIMT was primarily conducted on simplified scenarios such as images of one-line text with black font in white backgrounds, which is far from reality and impractical for applic…

2025

PRIM: Towards Practical In-Image Multilingual Machine Translation

EMNLP 2025

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 wor

2023

In-Image Neural Machine Translation with Segmented Pixel Sequence-to-Sequence Model

EMNLP 2023long findings

In-Image Machine Translation (IIMT) aims to convert images containing texts from one language to another. Traditional approaches for this task are cascade methods, which utilize optical character recognition (OCR) followed by neural machine translation (NMT) and text rendering. However, the cascade…

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