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HW-TSC’s Submission to the IWSLT 2026 Subtitling Track

HW-TSC submitted a cascaded system to the IWSLT 2026 Subtitling track, using a large-model-based streaming speech recognition framework with VAD, sliding-window context caching, long audio chunking, and Qwen3 forced alignment for high-precision transcription and timestamping. Text translation was performed with a Qwen3-based model, and subtitle constraints were enforced by rewriting non-compliant segments with a large language model while preserving semantics.

read1 min views14 publishedJun 30, 2026
HW-TSC’s Submission to the IWSLT 2026 Subtitling Track
Image: Aclanthology (auto-discovered)
[HW-TSC’s Submission to the IWSLT 2026 Subtitling Track](https://aclanthology.org/2026.iwslt-1.10.pdf)

[Xiaoqing Lan](/people/xiaoqing-lan/unverified/),
[Daimeng Wei](/people/daimeng-wei/unverified/),
[Jiaxin GUO](/people/jiaxin-guo/),
[Yuanchang Luo](/people/yuanchang-luo/unverified/),
[Hengchao Shang](/people/hengchao-shang/),
[Zongyao Li](/people/zongyao-li/),
[Zhiqiang Rao](/people/zhiqiang-rao/unverified/),
[Jinlong Yang](/people/jinlong-yang/unverified/),
[Zhanglin Wu](/people/zhanglin-wu/),
[Boqi Huang](/people/boqi-huang/unverified/),
[Yu He](/people/yu-he/unverified/)
Abstract

This paper introduces HW-TSC’s submission to the IWSLT 2026 Subtitling track. For automatic subtitle generation, we employ a cascaded strategy under unconstrained conditions. First, we construct a large-model-based streaming speech recognition framework, which incorporates VAD voice activity detection, sliding-window context caching, long audio chunking, and the Qwen3 forced alignment model to achieve high-precision transcription and timestamping from English speech to text. Next, we perform text translation using a Qwen3-based translation model. Finally, according to subtitle constraints such as characters per second (CPS) and characters per line (CPL), we identify translation segments that exceed compliance thresholds via quantitative evaluation, and rewrite them using a large language model while preserving core semantic meaning, ultimately producing subtitle files that meet the required standards.- Anthology ID:

- 2026.iwslt-1.10
- Volume:
[Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026)](/volumes/2026.iwslt-1/)- Month:
  • July
  • Year:
  • 2026
- Address:
- San Diego, USA (in-person and online)
- Editors:

Elizabeth Salesky,Antonios Anastasopoulos,Matteo Negri,Marcello Federico- Venues:

[IWSLT](/venues/iwslt/)|[WS](/venues/ws/)- SIG:
[SIGSLT](/sigs/sigslt/)- Publisher:
  • Association for Computational Linguistics
- Note:
- Pages:
  • 91–96
- Language:
- URL:
[https://aclanthology.org/2026.iwslt-1.10/](https://aclanthology.org/2026.iwslt-1.10/)- DOI:
- Cite (ACL):
  • Xiaoqing Lan, Daimeng Wei, Jiaxin GUO, Yuanchang Luo, Hengchao Shang, Zongyao Li, Zhiqiang Rao, Jinlong Yang, Zhanglin Wu, Boqi Huang, and Yu He. 2026. HW-TSC’s Submission to the IWSLT 2026 Subtitling Track. InProceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026), pages 91–96, San Diego, USA (in-person and online). Association for Computational Linguistics. - Cite (Informal):
[HW-TSC’s Submission to the IWSLT 2026 Subtitling Track](https://aclanthology.org/2026.iwslt-1.10/)(Lan et al., IWSLT 2026)- PDF:
[https://aclanthology.org/2026.iwslt-1.10.pdf](https://aclanthology.org/2026.iwslt-1.10.pdf)
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