CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation - researchr publication authors

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Yikun Lei, Zhengshan Xue, Xiaohu Zhao, Haoran Sun, ShaoLin Zhu, Xiaodong Lin, Deyi Xiong. CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 3123-3137, Association for Computational Linguistics, 2023. [doi]

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