Papers by Joshua B. Tanner
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. |
Project MOSLA: Recording Every Moment of Second Language Acquisition (2024.lrec-main)
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| Challenge: | Second language acquisition (SLA) is a complex and dynamic process. |
| Approach: | They created a longitudinal, multimodal, multilingual, and controlled dataset by inviting participants to learn one of three target languages from scratch over a span of two years, exclusively through online instruction. |
| Outcome: | The proposed dataset sheds light on the complex and dynamic nature of the acquisition of a second language and its implications for proficiency assessment, language and speech processing, and multimodal learning analytics. |