Overview
The Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026) is set to take place in conjunction with EACL 2026 in Rabat, Morocco. This workshop aims to provide a platform for researchers to discuss and share their findings related to the development and evaluation of neural language models tailored for low-resource languages. Given the increasing importance of inclusivity in natural language processing (NLP), this workshop is particularly significant as it addresses the challenges faced by languages with limited resources.
Background & Relevance
Neural language models have transformed the landscape of NLP, achieving state-of-the-art results across various applications. However, their performance is often hindered when applied to low-resource languages due to a lack of adequate training data. This workshop seeks to foster collaboration and innovation in the field by encouraging research that not only focuses on major languages but also on dialects and lesser-known languages. The exploration of language models for low-resource languages is crucial for ensuring equitable access to technology and promoting linguistic diversity in AI applications.
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 of language models for low-resource languages
- Adaptation of existing models for low-resource contexts
- Creation and curation of corpora for training
- Evaluation benchmarks for low-resource languages
- Multimodal language models and their applications
Eligibility & Participation
The workshop invites contributions from researchers, practitioners, and students interested in the development of language models for low-resource languages. It targets a diverse audience, including those working on NLP, computational linguistics, and related fields.
Submission or Application Guidelines
Submissions should adhere to the EACL 2026 formatting standards. Authors can submit long papers (up to 8 pages) and short papers (up to 4 pages), with the main body limits applying only to the core content. A mandatory section discussing the limitations of the work must be included, along with an optional section on ethical considerations. References and appendices are not subject to page limits. Submissions are to be made via OpenReview at the provided link.
Additional Context / Real-World Relevance
The focus on low-resource languages is increasingly relevant in today’s globalized world, where linguistic diversity is often overlooked in technological advancements. By addressing the unique challenges faced by these languages, the workshop contributes to the broader goal of making AI technologies accessible to all, regardless of linguistic background. This aligns with ongoing efforts to promote inclusivity and representation in AI research and applications.
Conclusion
Researchers and practitioners are encouraged to participate in this important workshop by submitting their work on language models for low-resource languages. This is a unique opportunity to contribute to a growing field that aims to enhance the representation of diverse languages in AI. For more information, visit the workshop website or reach out via the provided contact details.
Category: CFP & Deadlines
Tags: nlp, low-resource-languages, language-models, eacl, neural-networks, machine-translation, multimodal-ai, corpora, deep-learning
