Papers by Shonosuke Ishiwatari
Utilizing Longer Context than Speech Bubbles in Automated Manga Translation (2024.lrec-main)
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Hiroto Kaino, Soichiro Sugihara, Tomoyuki Kajiwara, Takashi Ninomiya, Joshua B. Tanner, Shonosuke Ishiwatari
| 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 . |
| Approach: | They propose two new ways to capture broader contextual information in manga machine translation . scene-based translation considers previous scene and broader context information . detailed analysis reveals the effect of zero-anaphora resolution in translation - highlighting the usefulness of longer contextual information if manga is translated in Japanese . |
| Outcome: | The proposed methods improve translation quality for manga (Japanese-style comics) the results show that the combined methods achieve the highest quality. |
Domain Adaptation of Image Encoder for Multimodal Manga Translation (2026.eacl-srw)
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| Challenge: | Existing machine translation systems lack sufficient manga comprehension capabilities when utilizing image information. |
| Approach: | They propose a domain-adapted image encoder training method for manga . the method trains encoders to acquire visual features that consider the structural and sequential characteristics of the manga based on a Japanese-English translation task. |
| Outcome: | The proposed method improves translation evaluation metrics in Japanese-English translation task compared to the conventional method . |
Context-Informed Machine Translation of Manga using Multimodal Large Language Models (2025.coling-main)
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| 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. |
Learning to Describe Unknown Phrases with Local and Global Contexts (N19-1)
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Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Shoetsu Sato, Masashi Toyoda, Masaru Kitsuregawa
| Challenge: | Existing methods for contextual guessing and definition generation do not take clues from local contexts. |
| Approach: | They propose a neural description model that takes clues from local and global contexts . they assume that the target phrase is newly emerged and there is no global context . |
| Outcome: | The proposed model takes clues from local and global contexts over existing methods . it is more effective than existing methods for non-standard English explanation . |