Papers by Soichiro Sugihara

1 papers
Utilizing Longer Context than Speech Bubbles in Automated Manga Translation (2024.lrec-main)

Copied to clipboard

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.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations