@inproceedings{kang-etal-2025-coas2w,
    title = "{COAS}2{W}: A {C}hinese Older-Adults Spoken-to-Written Transformation Corpus with Context Awareness",
    author = "Kang, Chun  and
      Qian, Zhigu  and
      Fu, Zhen  and
      Fu, Jiaojiao  and
      Zhou, Yangfan",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.emnlp-main.903/",
    doi = "10.18653/v1/2025.emnlp-main.903",
    pages = "17887--17906",
    ISBN = "979-8-89176-332-6",
    abstract = "Spoken language from older adults often deviates from written norms due to omission, disordered syntax, constituent errors, and redundancy, limiting the usefulness of automatic transcripts in downstream tasks. We present COAS2W, a Chinese spoken-to-written corpus of 10,004 utterances from older adults, each paired with a written version, fine-grained error labels, and four-sentence context. Fine-tuned lightweight open-source models on COAS2W outperform larger closed-source models. Context ablation shows the value of multi-sentence input, and normalization improves performance on downstream translation tasks. COAS2W supports the development of inclusive, context-aware language technologies for older speakers. Our annotation convention, data, and code are publicly available at https://github.com/Springrx/COAS2W."
}