HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task

Yuanchang Luo; Jiaxin Guo; Daimeng Wei; Hengchao Shang; Zongyao Li; Zhiqiang Rao; Jinlong Yang; Zhanglin Wu; Xiaoyu Chen; Hao Yang (杨浩)

HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task

Yuanchang Luo, Jiaxin Guo, Daimeng Wei, Hengchao Shang, Zongyao Li, Zhiqiang Rao, Jinlong Yang, Zhanglin Wu, Xiaoyu Chen, Hao Yang

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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.

Anthology ID:: 2025.wmt-1.71
Volume:: Proceedings of the Tenth Conference on Machine Translation
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
Venue:: WMT
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 969–973
Language:
URL:: https://aclanthology.org/2025.wmt-1.71/
DOI:
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Cite (ACL):: Yuanchang Luo, Jiaxin Guo, Daimeng Wei, Hengchao Shang, Zongyao Li, Zhiqiang Rao, Jinlong Yang, Zhanglin Wu, Xiaoyu Chen, and Hao Yang. 2025. HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task. In Proceedings of the Tenth Conference on Machine Translation, pages 969–973, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task (Luo et al., WMT 2025)
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PDF:: https://aclanthology.org/2025.wmt-1.71.pdf

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@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://aclanthology.org/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."
}

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%0 Conference Proceedings
%T HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task
%A Luo, Yuanchang
%A Guo, Jiaxin
%A Wei, Daimeng
%A Shang, Hengchao
%A Li, Zongyao
%A Rao, Zhiqiang
%A Yang, Jinlong
%A Wu, Zhanglin
%A Chen, Xiaoyu
%A Yang, Hao
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Tenth Conference on Machine Translation
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-341-8
%F luo-etal-2025-hw
%X 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.
%U https://aclanthology.org/2025.wmt-1.71/
%P 969-973

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Markdown (Informal)

[HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task](https://aclanthology.org/2025.wmt-1.71/) (Luo et al., WMT 2025)

HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task (Luo et al., WMT 2025)

ACL

Yuanchang Luo, Jiaxin Guo, Daimeng Wei, Hengchao Shang, Zongyao Li, Zhiqiang Rao, Jinlong Yang, Zhanglin Wu, Xiaoyu Chen, and Hao Yang. 2025. HW-TSC’s Submissions to the WMT 2025 Segment-level Quality Score Prediction Task. In Proceedings of the Tenth Conference on Machine Translation, pages 969–973, Suzhou, China. Association for Computational Linguistics.