@inproceedings{luo-etal-2025-hw,
    title = "{HW}-{TSC}{'}s Submissions to the {WMT} 2025 Segment-level Quality Score Prediction Task",
    author = "Luo, Yuanchang  and
      Guo, Jiaxin  and
      Wei, Daimeng  and
      Shang, Hengchao  and
      Li, Zongyao  and
      Rao, Zhiqiang  and
      Yang, Jinlong  and
      Wu, Zhanglin  and
      Chen, Xiaoyu  and
      Yang, Hao",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Tenth Conference on Machine Translation",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.wmt-1.71/",
    pages = "969--973",
    ISBN = "979-8-89176-341-8",
    abstract = "This paper presents the submissions of Huawei Translate Services Center (HW-TSC) to the WMT 2025 Segment-level quality score prediction Task. We participate in 16 language pairs. For the prediction of translation quality scores for long multi-sentence text units, we propose an automatic evaluation framework based on alignment algorithms. Our approach integrates sentence segmentation tools and dynamic programming to construct sentence-level alignments between source and translated texts, then adapts sentence-level evaluation models to document-level assessment via sliding-window aggregation. Our submissions achieved competitive results in the final evaluations of all language pairs we participated in."
}