First Workshop on Sign Language Processing at IJCNLP 2025: Call for Papers

Date:

Overview

The First Workshop on Sign Language Processing (WSLP 2025) is set to take place on December 24, 2025, at the Victor Menezes Convention Centre, Indian Institute of Technology, Bombay, Mumbai, India. This inaugural event is co-located with IJCNLP–AACL 2025 and aims to create a platform for discussing advancements in sign language processing and translation, particularly emphasizing low-resource and underrepresented sign languages. Participants will have the opportunity to engage in paper presentations, shared tasks, and invited talks from leading experts in the field.

Background & Relevance

Sign language processing is an emerging area within natural language processing (NLP) that focuses on the computational understanding and generation of sign languages. This field is crucial for enhancing communication accessibility for the deaf and hard-of-hearing communities. As many sign languages are underrepresented in research, initiatives like WSLP 2025 are vital for promoting inclusivity and advancing technology that can bridge communication gaps. The workshop will address the unique challenges associated with low-resource languages and explore innovative solutions for sign language translation.

Key Details

  • Workshop Date: December 24, 2025
  • Location: Victor Menezes Convention Centre, IIT Bombay, Mumbai, India
  • Paper Submission Deadline: September 29, 2025
  • ARR Commitment Deadline: October 27, 2025
  • Notification of Acceptance: November 3, 2025
  • Camera-Ready Papers Due: November 11, 2025
  • Topics of Interest:
  • Low-resource and underrepresented sign languages
  • Continuous and gloss-free sign language translation
  • Multilingual, cross-modal, and zero-shot sign language translation
  • Cultural and dialectal variations in sign language
  • Corpus creation, fairness, ethics, and real-world applications
  • Shared Tasks:
  • Indian Sign Language to English Translation
  • Isolated Sign (Gloss) Recognition
  • Word Presence Prediction in Sign Videos
  • Workshop Website: WSLP 2025 Website
  • CFP & Submissions: OpenReview Link
  • ARR Commitment: ARR Commitment Link
  • Shared Tasks Details: Shared Tasks Link
  • Discord for Workshop: Workshop Discord
  • Discord for Shared Task: Shared Task Discord

Eligibility & Participation

The workshop invites submissions from researchers, practitioners, and students interested in sign language processing. It particularly encourages contributions that focus on underrepresented sign languages and communities, fostering a diverse range of perspectives and solutions.

Submission or Application Guidelines

  1. Prepare your paper according to the submission guidelines provided on the workshop website.
  2. Submit your paper via the OpenReview platform by the deadline of September 29, 2025.
  3. Ensure that you meet the ARR commitment deadline of October 27, 2025.
  4. Await notification of acceptance by November 3, 2025.
  5. Submit your camera-ready paper by November 11, 2025.

More Information

The WSLP 2025 workshop represents a significant step towards advancing research in sign language processing, particularly for low-resource languages. By addressing the unique challenges faced by these languages, the workshop aims to foster collaboration and innovation in the field. The discussions and findings from this workshop will contribute to the broader AI/ML community, highlighting the importance of inclusivity and accessibility in technology.

Conclusion

Researchers and practitioners are encouraged to participate in this important workshop by submitting their work and sharing insights on sign language processing. This is an excellent opportunity to contribute to a growing field and engage with experts dedicated to advancing communication technologies for underrepresented communities.


Category: CFP & Deadlines
Tags: sign language processing, nlp, low-resource languages, machine translation, shared tasks, cultural variation, corpus creation, IJCNLP, AACL, AI, ethics, multilingual, cross-modal

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