Overview
The Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026) is set to take place in conjunction with EACL 2026. This workshop aims to address the challenges faced by neural language models when applied to low-resource languages, providing a platform for researchers to share their findings and advancements in this critical area of natural language processing (NLP).
Background & Relevance
Neural language models have significantly transformed the field of NLP, achieving state-of-the-art results across various tasks. However, their performance is heavily reliant on the availability of pre-training resources, which poses a challenge for low-resource languages. The LoResLM workshop seeks to support the growing interest in developing language models tailored for these languages, fostering discussions and collaborations among researchers.
Key Details
- Workshop Dates: March 28-29, 2026 (TBD)
- Location: Rabat, Morocco, in conjunction with EACL 2026
- Submission Deadline: January 6, 2026
- Notification of Acceptance: January 28, 2026
- Camera-Ready Submission: February 3, 2026
- Topics of Interest:
- Development and evaluation of language models for low-resource languages
- Adaptation of existing models for low-resource contexts
- Creation and curation of training corpora
- Evaluation benchmarks for low-resource languages
- Multilingual and multimodal approaches
- Applications such as machine translation and chatbots
- Submission Links: Workshop Website, Call for Papers, Submissions
Eligibility & Participation
The workshop targets researchers and practitioners working on language models for low-resource languages. It welcomes contributions from both established scholars and emerging researchers in the field.
Submission or Application Guidelines
Submissions should adhere to the EACL 2026 formatting standards. Long papers can be up to 8 pages, while short papers may extend to 4 pages. A mandatory section discussing the limitations of the work and an optional section on ethical considerations must be included at the end of the paper. References and appendices are not subject to the page limits. For formatting resources, refer to the EACL style files and Overleaf template.
More Information
This workshop is a vital step in addressing the underrepresentation of low-resource languages in NLP. By fostering collaboration and innovation, it aims to enhance the development of language models that can effectively serve diverse linguistic communities. The outcomes of this workshop will contribute to the broader AI/ML landscape, emphasizing the importance of inclusivity in language technology.
Conclusion
Researchers interested in low-resource languages are encouraged to submit their work to LoResLM 2026. This workshop presents an excellent opportunity to engage with peers, share insights, and contribute to the advancement of language models in this crucial area. Explore the submission guidelines and participate in shaping the future of NLP for low-resource languages.
Category: CFP & Deadlines
Tags: low-resource languages, language models, natural language processing, EACL, neural networks, machine translation, multimodal AI, computational linguistics, AI research, corpora creation, cross-lingual models, prompting strategies
