[11] Jiatao Gu, Graham Neubig, Kyunghyun Cho, and Victor O.K. Li. Learning to translate in real-time with neural machine translation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1053-1062, Valencia, Spain, April 2017. Association for Computational Linguistics. URL https://www.aclweb.org/anthology/E17-1099.
[12] Shaolei Zhang, Shoutao Guo, and Yang Feng. Wait-info policy: Balancing source and target at information level for simultaneous machine translation. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 2249-2263, Abu Dhabi, United Arab Emirates, December 2022. Association for Computational Linguistics. doi: 10.18653/v1/2022.findings-emnlp.166. URL https://aclanthology.org/2022-findings-emnlp.166.
[13] Shaolei Zhang and Yang Feng. Hidden markov transformer for simultaneous machine translation. In The Eleventh International Conference on Learning Representations, 2023. URL https://openreview.net/forum?id=9y0HFvaAYD6.
[14] Hirofumi Inaguma, Masato Mimura, and Tatsuya Kawahara. Enhancing Monotonic Multihead Attention for Streaming ASR. In Proc. Interspeech 2020, pages 2137-2141, 2020. doi: 10.21437/Interspeech.2020-1780. URL http://dx.doi.org/10.21437/Interspeech.2020-1780.
[15] Niko Moritz, Takaaki Hori, and Jonathan Le. Streaming automatic speech recognition with the transformer model. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 6074-6078, 2020. doi: 10.1109/ICASSP40776.2020.9054476. URL https://ieeexplore.ieee.org/document/9054476.
[16] Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N Sainath, Yonghui Wu, and Ruoming Pang. Dual-mode {asr}: Unify and improve streaming {asr} with full-context modeling. In International Conference on Learning Representations, 2021. URL https://openreview.net/forum?id=Pz_dcqfcKW8.
[17] Kyunghyun Cho and Masha Esipova. Can neural machine translation do simultaneous translation? CoRR, abs/1606.02012, 2016. URL http://arxiv.org/abs/1606.02012.
[18] Shaolei Zhang and Yang Feng. Universal simultaneous machine translation with mixture-of-experts wait-k policy. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7306-7317, Online and Punta Cana, Dominican Republic, November 2021. Association for Computational Linguistics. doi: 10.18653/v1/2021.emnlp-main.581. URL https://aclanthology.org/2021.emnlp-main.581.
[19] Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, Zhengrui Ma, Yan Zhou, Langlin Huang, Mengyu Bu, Shangtong Gui, Yunji Chen, Xilin Chen, and Yang Feng. Bayling: Bridging cross-lingual alignment and instruction following through interactive translation for large language models, 2023. URL https://arxiv.org/abs/2306.10968.
[20] Xingshan Zeng, Liangyou Li, and Qun Liu. RealTranS: End-to-end simultaneous speech translation with convolutional weighted-shrinking transformer. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2461-2474, Online, August 2021. Association for Computational Linguistics. doi: 10.18653/v1/2021-findings-acl.218. URL https://aclanthology.org/2021-findings-acl.218.
[21] Ruiqing Zhang, Zhongjun He, Hua Wu, and Haifeng Wang. Learning adaptive segmentation policy for end-to-end simultaneous translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7862-7874, Dublin, Ireland, May 2022. Association for Computational Linguistics. doi: 10.18653/v1/2022.acl-long.542. URL https://aclanthology.org/2022.acl-long.542.
[22] Chung-Cheng Chiu* and Colin Raffel*. Monotonic chunkwise attention. In International Conference on Learning Representations, 2018. URL https://openreview.net/forum?id=Hko85p1CW.