@inproceedings{li-etal-2024-scir,
    title = "{SCIR}-{MT}`s Submission for {WMT}24 General Machine Translation Task",
    author = "Li, Baohang  and
      Ye, Zekai  and
      Huang, Yichong  and
      Feng, Xiaocheng  and
      Qin, Bing",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2024.wmt-1.21/",
    doi = "10.18653/v1/2024.wmt-1.21",
    pages = "280--285",
    abstract = "This paper introduces the submission of SCIR research center of Harbin Institute of Technology participating in the WMT24 machine translation evaluation task of constrained track for English to Czech. Our approach involved a rigorous process of cleaning and deduplicating both monolingual and bilingual data, followed by a three-stage model training recipe. During the testing phase, we used the beam serach decoding method to generate a large number of candidate translations. Furthermore, we employed COMET-MBR decoding to identify optimal translations."
}