@inproceedings{singh-etal-2025-overview,
    title = "Overview of the First Workshop on Sign Language Processing ({WSLP} 2025)",
    author = "Singh, Sanjeet  and
      Joshi, Abhinav  and
      Artiaga, Keren  and
      Hasanuzzaman, Mohammed  and
      Quiroga, Facundo Manuel  and
      Kamila, Sabyasachi  and
      Modi, Ashutosh",
    editor = "Hasanuzzaman, Mohammed  and
      Quiroga, Facundo Manuel  and
      Modi, Ashutosh  and
      Kamila, Sabyasachi  and
      Artiaga, Keren  and
      Joshi, Abhinav  and
      Singh, Sanjeet",
    booktitle = "Proceedings of the Workshop on Sign Language Processing (WSLP)",
    month = dec,
    year = "2025",
    address = "IIT Bombay, Mumbai, India (Co-located with IJCNLP{--}AACL 2025)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-ijcnlp-aacl/2025.wslp-main.1/",
    pages = "1--5",
    ISBN = "979-8-89176-304-3",
    abstract = "We organized the First Workshop on Sign Language Processing (WSLP 2025), co-located with IJCNLP{--}AACL 2025 at IIT Bombay, to bring together researchers, linguists, and members of the Deaf community and accelerate computational work on under-resourced sign languages.The workshop accepted ten papers{---}including two official shared-task submissions{---}that introduced new large-scale resources (a continuous ISL fingerspelling corpus, cross-lingual HamNoSys corpora), advanced multilingual and motion-aware translation models, explored LLM-based augmentation and glossing strategies, and presented lightweight deployable systems for regional languages such as Odia.We ran a three-track shared task on Indian Sign Language that attracted over sixty registered teams and established the first public leaderboards for sentence-level ISL-to-English translation, isolated word recognition, and word-presence prediction.By centring geographic, linguistic, and organiser diversity, releasing open datasets and benchmarks, and explicitly addressing linguistic challenges unique to visual{--}spatial languages, we significantly broadened the scope of sign-language processing beyond traditionally dominant European and East-Asian datasets, laying a robust foundation for inclusive, equitable, and deployable sign-language AI in the Global South."
}