ACL Findings2023
Towards Speech Dialogue Translation Mediating Speakers of Different Languages
Shuichiro Shimizu, Chenhui Chu, Sheng Li, Sadao Kurohashi
Abstract
We present a new task, speech dialogue translation mediating speakers of different languages.We construct the SpeechBSD dataset for the task and conduct baseline experiments.Furthermore, we consider context to be an important aspect that needs to be addressed in this task and propose two ways of utilizing context, namely monolingual context and bilingual context.We conduct cascaded speech translation experiments using Whisper and mBART, and show that bilingual context performs better in our settings.彼は良い考えだと言ってました He said it's a good idea MT 少し甘いと思います I think it's a bit sweet MT What do you think about it?
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Builds on4
- Robust Speech Recognition via Large-Scale Weak SupervisionAlec Radford, Jong Wook Kim, Tao Xu, Greg Brockman et al.ICML 2023 · 6,966 citations
- Towards Making the Most of Dialogue Characteristics for Neural Chat TranslationYunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu et al.EMNLP 2021 · 12 citations
- Beyond Sentence-Level End-to-End Speech Translation: Context HelpsBiao Zhang, Ivan Titov, Barry Haddow, Rico SennrichACL 2021
- Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?Luisa Bentivogli, Mauro Cettolo, Marco Gaido, Alina Karakanta et al.ACL 2021
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