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arXiv · 2010.10648

Towards End-to-End In-Image Neural Machine Translation

Elman Mansimov·Mitchell Stern·Mia Chen·Orhan Firat·Jakob Uszkoreit·Puneet Jain
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Abstract

In this paper, we offer a preliminary investigation into the task of in-image machine translation: transforming an image containing text in one language into an image containing the same text in another language. We propose an end-to-end neural model for this task inspired by recent approaches to neural machine translation, and demonstrate promising initial results based purely on pixel-level supervision. We then offer a quantitative and qualitative evaluation of our system outputs and discuss some common failure modes. Finally, we conclude with directions for future work.

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Elman Mansimov, Mitchell Stern, Mia Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain. 2020-10-20. Towards End-to-End In-Image Neural Machine Translation. https://arxiv.org/abs/2010.10648

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