[23] Maha Elbayad, Laurent Besacier, and Jakob Verbeek. Efficient Wait-k Models for Simultaneous Machine Translation, 2020. URL http://dx.doi.org/10.21437/Interspeech.2020-1241.
[24] Xutai Ma, Juan Miguel Pino, James Cross, Liezl Puzon, and Jiatao Gu. Monotonic multihead attention. In International Conference on Learning Representations, 2020. URL https://openreview.net/forum?id=Hyg96gBKPS.
[25] Shaolei Zhang and Yang Feng. Gaussian multi-head attention for simultaneous machine translation. In Findings of the Association for Computational Linguistics: ACL 2022, pages 3019-3030, Dublin, Ireland, May 2022. Association for Computational Linguistics. URL https://aclanthology.org/2022-findings-acl.238.
[26] Xutai Ma, Juan Pino, and Philipp Koehn. SimulMT to SimulST: Adapting simultaneous text translation to end-to-end simultaneous speech translation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 582-587, Suzhou, China, December 2020. Association for Computational Linguistics. URL https://aclanthology.org/2020.aacl-main.58.
[27] Qian Dong, Yaoming Zhu, Mingxuan Wang, and Lei Li. Learning when to translate for streaming speech. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 680-694, Dublin, Ireland, May 2022. Association for Computational Linguistics. doi: 10.18653/v1/2022.acl-long.50. URL https://aclanthology.org/2022.acl-long.50.
[28] Sebastian Ruder. An Overview of Multi-Task Learning in Deep Neural Networks. arXiv e-prints, art. arXiv:1706.05098, June 2017. doi: 10.48550/arXiv.1706.05098.
[29] Yu Zhang and Qiang Yang. An overview of multi-task learning. National Science Review, 5(1): 30-43, 09 2017. ISSN 2095-5138. doi: 10.1093/nsr/nwx105. URL https://doi.org/10. 1093/nsr/nwx105.
[30] Antonios Anastasopoulos and David Chiang. Tied multitask learning for neural speech translation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 82–91, New Orleans, Louisiana, June 2018. Association for Computational Linguistics. doi: 10.18653/v1/N18-1008. URL https://aclanthology.org/N18-1008.
[31] Shaolei Zhang and Yang Feng. Modeling dual read/write paths for simultaneous machine translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2461-2477, Dublin, Ireland, May 2022. Association for Computational Linguistics. URL https://aclanthology.org/2022.acl-long.176.
[32] Alex Graves. Sequence transduction with recurrent neural networks. arXiv preprint arXiv:1211.3711, 2012. URL https://arxiv.org/abs/1211.3711.
[33] Navdeep Jaitly, David Sussillo, Quoc V. Le, Oriol Vinyls, Ilya Sutskever, and Samy Bengio. A neural transducer, 2016. URL https://arxiv.org/abs/1511.04868.
[34] Ching-Feng Yeh, Jay Mahadeokar, Kaustubh Kalgaonkar, Yongqiang Wang, Duc Le, Mahaveer Jain, Kjell Schubert, Christian Fuegen, and Michael L Seltzer. Transformer-transducer: End-to-end speech recognition with self-attention. arXiv preprint arXiv:1910.12977, 2019. URL https://arxiv.org/abs/1910.12977.
[35] Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, and Douglas Eck. Online and linear-time attention by enforcing monotonic alignments. In Doina Precup and Yee Whye Teh, editors, Proceedings of the 34th International Conference on Machine Learning, volume 70 of Proceedings of Machine Learning Research, pages 2837-2846. PMLR, 06-11 Aug 2017. URL https://proceedings.mlr.press/v70/raffel17a.html.