LREC-COLING 2026 – Language Resources and Evaluation Conference: Everything You Need to Know

What Is LREC-COLING 2026?

LREC-COLING 2026 is a joint international conference that brings together two of the most respected communities in computational linguistics and natural language processing: the Language Resources and Evaluation Conference (LREC) and the International Conference on Computational Linguistics (COLING). Scheduled for May 18–23, 2026, in Marseille, France, this combined event represents a significant convergence of expertise in language resources, evaluation methodologies, and AI-driven NLP benchmarks.

The conference is organized by leading academic and research institutions in the field of language technology. Its primary mission is to advance the state of the art in how language data is collected, annotated, shared, and evaluated—critical foundations for building reliable AI systems that understand and generate human language. By merging LREC’s focus on resource creation and evaluation with COLING’s emphasis on computational linguistics theory and applications, LREC-COLING 2026 offers a uniquely comprehensive program that spans both practical data engineering and cutting-edge research.

Why does this matter? As large language models and generative AI continue to dominate the industry, the quality and diversity of underlying language resources have never been more important. Biased, narrow, or poorly annotated datasets lead to flawed models. LREC-COLING 2026 directly addresses this challenge by providing a forum for rigorous discussion on benchmark design, data curation standards, and reproducible evaluation practices—ensuring that the AI tools we build are both robust and trustworthy.

Why It Matters for AI Professionals

For AI professionals working in NLP, conversational AI, or multilingual systems, LREC-COLING 2026 is a critical event for staying current with best practices in data and evaluation. The conference offers direct exposure to the latest methodologies for building and testing AI models, with a strong emphasis on open-source collaboration. Attendees will gain insights into how to design more effective benchmarks, avoid common pitfalls in dataset creation, and evaluate model performance in ways that reflect real-world use cases.

Moreover, the event provides a rare opportunity to connect with the people who are shaping the infrastructure of modern NLP—from dataset curators and annotation specialists to benchmark architects and evaluation researchers. For any professional whose work depends on high-quality language data, LREC-COLING 2026 is an essential stop on the conference calendar.

What to Expect

LREC-COLING 2026 will feature a diverse program that balances academic research with practical, hands-on engagement. Key themes and activities include:

• Hands-on sessions for building and testing AI models: Practical workshops where attendees can work directly with language resources and evaluation tools.
• AI-driven NLP benchmarks: Dedicated tracks on benchmark design, including discussions on fairness, robustness, and multilingual coverage.
• Open-source dataset collaboration: Opportunities to contribute to and learn about community-driven data projects, with an emphasis on reproducibility and transparency.
• Research paper presentations: Peer-reviewed talks covering the latest advances in computational linguistics, language resource creation, and evaluation methodologies.
• Poster sessions and demos: Interactive formats for exploring new tools, datasets, and models in depth.

Notable speakers and detailed session schedules are to be announced as the event approaches. The program is expected to draw leading researchers from academia and industry alike.

Who Should Attend

LREC-COLING 2026 is designed for a broad audience within the AI and NLP ecosystem. Primary attendees include:

• Researchers and academics in computational linguistics, NLP, and AI who want to present their work and learn about the latest evaluation standards.
• Data scientists and ML engineers who build, train, or deploy language models and need high-quality resources and benchmarks.
• Dataset curators and annotation specialists involved in creating or managing language resources for AI applications.
• Product managers and technical leads overseeing NLP-driven products who need to understand best practices in data quality and model evaluation.
• Open-source contributors interested in collaborating on community-driven language datasets and evaluation frameworks.

How to Register

Registration for LREC-COLING 2026 will be handled through the official conference website. Pricing tiers, early-bird deadlines, and registration categories (e.g., student, academic, industry) are yet to be announced. For the most current information and to secure your place, visit the official site: https://lrec-coling-2026.org. Details to be announced regarding specific fees and deadlines.