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HW-TSC Systems for WMT22 Very Low Resource Supervised MT Task., , , , , , , , , and 4 other author(s). WMT, page 1098-1103. Association for Computational Linguistics, (2022)The HW-TSC's Simultaneous Speech-to-Text Translation System for IWSLT 2023 Evaluation., , , , , , , , , and 3 other author(s). IWSLT@ACL, page 376-382. Association for Computational Linguistics, (2023)Multi-strategy Enhanced Neural Machine Translation for Chinese Minority Languages., , , , , , , , , and 4 other author(s). CCMT, volume 1671 of Communications in Computer and Information Science, page 37-44. Springer, (2022)Treating General MT Shared Task as a Multi-Domain Adaptation Problem: HW-TSC's Submission to the WMT23 General MT Shared Task., , , , , , , , , and 2 other author(s). WMT, page 170-174. Association for Computational Linguistics, (2023)HW-TSC's Participation in the WMT 2021 Large-Scale Multilingual Translation Task., , , , , , , , , and 2 other author(s). WMT@EMNLP, page 456-463. Association for Computational Linguistics, (2021)HW-TSC's Participation in the WMT 2021 News Translation Shared Task., , , , , , , , , and 2 other author(s). WMT@EMNLP, page 225-231. Association for Computational Linguistics, (2021)HW-TSC's Participation in the WMT 2020 News Translation Shared Task., , , , , , , , , and 1 other author(s). WMT@EMNLP, page 293-299. Association for Computational Linguistics, (2020)Self-Distillation Mixup Training for Non-autoregressive Neural Machine Translation., , , , , , , , , and 4 other author(s). CoRR, (2021)Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning., , , , , , , , , and 7 other author(s). IWSLT@ACL, page 180-186. Association for Computational Linguistics, (2023)HW-TSC at IWSLT2023: Break the Quality Ceiling of Offline Track via Pre-Training and Domain Adaptation., , , , , , , , , and 3 other author(s). IWSLT@ACL, page 187-193. Association for Computational Linguistics, (2023)