Challenge: Automated manga translation is a promising potential solution, but it is underdeveloped due to the need to incorporate visual elements into the translation process to resolve ambiguities.
Approach: They propose a method that leverages the vision component of multimodal large language models to improve translation quality and evaluate the impact of translation unit size, context length, and propose 'token efficient' approach for manga translation.
Outcome: The proposed method achieves state-of-the-art results for Japanese-English translation and sets a new standard for Japanese and Polish translation.

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Challenge: Manga is a richly multimodal narrative form that blends images and text in complex ways.
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Challenge: Existing methods to capture contextual information for manga machine translation are difficult to perform . unofficially translated pirated copies of manga are circulating overseas in large numbers .
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