Tied Multitask Learning for Neural Speech Translation
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Association for Computational Linguistics
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A multitask co-training framework for improving speech translation by leveraging speech recognition and machine translation tasks;Neural Computing and Applications;2024-02-27
2. Learning Semantic Information from Machine Translation to Improve Speech-to-Text Translation;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
3. End-to-End Tibetan-Chinese Speech Translation Based on Multi-task and Multi-level Pre-training;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18
4. Learning to Jointly Transcribe and Subtitle for End-To-End Spontaneous Speech Recognition;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09
5. Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model;Artificial Neural Networks and Machine Learning – ICANN 2023;2023
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