Date: 2026-09-30 to 2026-10-02
Location: Fes, Morocco
Type: Conference
Website: latell.org/2026
What Is LaTeLL 2026?
LaTeLL 2026, the first international conference dedicated specifically to the automatic processing of low-resource languages, will take place from September 30 to October 2, 2026, in the historic city of Fes, Morocco. Organized by a consortium of academic and industry leaders in natural language processing, this inaugural event aims to address one of the most pressing gaps in modern AI: the systematic underrepresentation of languages that lack large-scale digital corpora, annotated datasets, and pre-trained models.
The conference focuses squarely on language technologies for low-resource languages, covering natural language processing (NLP), language model development, and evaluation methods tailored to underrepresented languages. While major languages like English, Mandarin, and Spanish benefit from decades of research and massive computational resources, thousands of languages spoken by millions of people remain largely invisible to current AI systems. LaTeLL 2026 positions itself as a dedicated forum to change that, bringing together researchers, engineers, and policymakers who are actively working on solutions for linguistic diversity.
The event is particularly significant given its location in Morocco, a multilingual nation where Arabic, Berber (Amazigh), French, and various regional dialects coexist. This setting underscores the conference’s mission: to ground discussions in real-world linguistic complexity rather than theoretical abstractions. The organizers have designed LaTeLL 2026 to be a collaborative space where cross-disciplinary approaches—from computational linguistics to sociolinguistics—can converge on practical, scalable methods for language preservation and digital inclusion.
Why It Matters for AI Professionals
For AI professionals working in NLP, speech recognition, or language model development, LaTeLL 2026 addresses a critical blind spot in the field. Most current large language models (LLMs) are trained on data from a handful of high-resource languages, creating systems that perform poorly—or not at all—on the world’s 7,000+ other languages. This is not merely an academic concern; it has direct implications for global product deployment, user experience, and ethical AI practices. Professionals attending LaTeLL 2026 will gain exposure to emerging techniques in few-shot learning, cross-lingual transfer, data augmentation, and evaluation metrics specifically designed for low-resource settings.
Attendees will also benefit from understanding how to approach language technology projects where standard assumptions—such as the availability of millions of training examples or pre-existing benchmarks—do not hold. The conference offers a rare opportunity to learn from practitioners who have successfully deployed systems for languages with limited digital footprints, including methods for community-driven data collection, unsupervised learning, and robust evaluation in the absence of gold-standard test sets. For any AI professional whose work touches multilingual or global applications, LaTeLL 2026 provides actionable insights that cannot be obtained from mainstream NLP conferences.
What to Expect
LaTeLL 2026 will feature a comprehensive program covering the full pipeline of language technology for low-resource languages. Key themes and tracks include:
- Natural Language Processing (NLP): Morphological analysis, syntactic parsing, machine translation, and information extraction for languages with limited annotated data.
- Language Models: Development and adaptation of small-scale, efficient language models; transfer learning from high-resource languages; and multilingual model evaluation.
- Evaluation Methods: Novel metrics and benchmarking approaches that account for data scarcity, dialectal variation, and domain-specific challenges in low-resource contexts.
- Data Collection and Annotation: Crowdsourcing strategies, community engagement models, and semi-automated annotation pipelines for underrepresented languages.
- Speech and Multimodal Processing: Automatic speech recognition, text-to-speech, and multimodal systems for languages without standardized orthographies.
Details on keynote speakers and invited talks are to be announced. The conference will also include poster sessions, workshops, and networking events designed to foster collaboration among researchers and industry practitioners.
Who Should Attend
LaTeLL 2026 is designed for a diverse audience of AI professionals, including NLP researchers and engineers, computational linguists, data scientists working on multilingual systems, product managers responsible for global AI deployments, and academics specializing in language documentation and digital humanities. The conference is also highly relevant for representatives from technology companies, non-governmental organizations, and government agencies focused on digital inclusion, language preservation, and equitable access to AI technologies. Whether you are developing models for a specific low-resource language or seeking general strategies for handling linguistic diversity in AI systems, LaTeLL 2026 offers targeted content and expert networking opportunities.
How to Register
Registration for LaTeLL 2026 is open via the official conference website. Pricing details, including early-bird rates and discounts for students, researchers, and attendees from low-income countries, are to be announced. To secure your place and receive updates on the program, speakers, and registration deadlines, visit the official website at latell.org/2026.
