Papers by Kosuke Doi
NAIST-SIC-Aligned: An Aligned English-Japanese Simultaneous Interpretation Corpus (2024.lrec-main)
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| Challenge: | Simultaneous interpretation data is a task where an utterance is translated in real-time. |
| Approach: | They propose to use an automatically-aligned parallel English-Japanese SI dataset to make it suitable for model training. |
| Outcome: | The proposed model improves translation quality and latency over baselines. |
Simul-COMET: A Quality Metric for Simultaneous Interpretation in Distant Language Pair Considering Word Order Difference (2026.findings-acl)
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| Challenge: | Simultaneous interpretation (SI) uses segmenting of source speech into chunks and translating them in order. |
| Approach: | They propose a variation of COMET that measures monotonicity for simultaneous interpretation . they train Simul-COMET on offline translation data and show stronger alignment with evaluation scores . |
| Outcome: | The proposed model shows stronger alignment with evaluation scores provided by interpreters than COMET. |