Call For Papers

The BHASHA workshop aims to bring together researchers and practitioners working on datasets, benchmarks, resources, annotation, evaluation, and evaluation standards for Indian languages. We warmly encourage submissions from researchers, engineers, and language-technology practitioners who are actively working on resources, evaluation, and human-centric approaches for Indian languages. Please feel free to forward this CFP to interested colleagues and acquaintances who might be interested..

Topics

We solicit original, unpublished work on topics including (but not limited to):

• Creation and evaluation of datasets/benchmarks for Indian languages
• Annotation schemes, guidelines, and tooling for consistent labeling
• Harmonization and standardization of formats and metrics across Indian languages
• Resource collection, curation, and best practices for low-resource Indian languages
• Language-specific modeling challenges (morphology, free word order, script issues)
• Human-centric evaluation, fairness, accessibility, and usability studies
• Cross-lingual transfer, multilingual models, and evaluation for Indian languages
• Ethical, legal, and community-driven approaches to dataset creation and release
• Methods for domain-specific tasks for India in Indian languages (e.g., in Healthcare, Law, Education)

We also invite submissions describing system reports, negative results, and position papers that advance the workshop goals.

Submission Instructions

You are requested to submit your research paper using the Direct Submission to BHASHA Workshop at OpenReview.net: https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2025/Workshop/BHASHA.

Peer-reviewed submissions are also accepted via ARR (ACL Rolling Review). Please follow the detailed instructions on the Submission page on the workshop website for the preferred format, anonymization policy, and templates. If you plan to submit a shared-task system paper, please follow the shared-task timeline and submission instructions available on the Shared Task page.