Dear colleagues,

We are pleased to announce the final call for papers of the

*Workshop on Advancing NLP for Low-Resource Languages (LowResNLP) at RANLP 2025*

The most important information at a glance: 🗓️ Deadline: July 15, Workshop: Sep 11, 12 or 13 📍 Varna, Bulgaria 🌐 https://lrlnlp.github.io/website/

Despite rapid progress in Natural Language Processing (NLP), the benefits of recent advances - especially large language models (LLMs) - remain unevenly distributed. While high-resource languages like English, French, and Chinese have seen significant performance gains, low-resource languages continue to face substantial challenges across core NLP tasks such as machine translation, sentiment analysis, named entity recognition (NER), and part-of-speech tagging.

These disparities arise from a combination of factors: the scarcity of high-quality training data, limited linguistic resources, and a lack of community involvement in data collection and model development. As a result, many languages, particularly African, Indigenous, and minority languages, remain underrepresented in both academic research and deployed NLP systems.

LowResNLP is a workshop dedicated to addressing these challenges by fostering research, collaboration, and discussion around methods, resources, and evaluation practices specifically designed for low-resource languages. LowResNLP seeks to actively contribute to the field by inviting submissions that specifically address the unique challenges and opportunities involved in working with low-resource languages. The workshop welcomes a broad range of topics, including but not limited to:

* Language models and large language models for low-resource languages * Corpora creation and curation technologies for low-resource languages * Evaluation benchmarks for language models in low-resource languages * Language models and resources for low-resource languages in Spain * Machine/pivot translation for low-resource languages * Fairness in resources/models for low-resource languages * Prompting learning strategies for large language models * Transfer learning and Crosslingual approaches for low-resource NLP * Massively multilingual approaches to Low-Resource NLP

Important Dates: Workshop paper submission deadline: 15 July 2025 (AoE) Workshop paper acceptance notification: 31 July 2025 Workshop paper camera-ready versions: 30 August 2025 Workshop camera-ready proceedings ready: 8 September 2025 Workshops: 11, 12 or 13 September 2025

Submission formats: We invite the submission of both full papers and short papers. Full papers should not exceed 8 pages (plus unlimited number of pages for references and ethics/broader impact statement). Short papers should not exceed 4 pages (plus unlimited number of pages for references and ethics/broader impact statement). All submissions should be prepared using the current ACL templates (see https://ranlp.org/ranlp2025/index.php/submissions/). Papers should be submitted through SoftConf: https://softconf.com/ranlp25/LowResNLP2025

Organizers: For any questions, please drop a mail to lowresnlp-2025-organizers@googlegroups.com Ernesto Luis Estevanell-Valladares (University of Alicante, Spain; University of Havana, Cuba) Alicia Picazo-Izquierdo (University of Alicante, Spain) Tharindu Ranasinghe (Lancaster University, UK) Besik Mikaberidze (Georgian Technical University, Georgia) Simon Ostermann (German Research Center for Artificial Intelligence, Germany) Daniil Gurgurov (German Research Center for Artificial Intelligence, Germany) Philipp Müller (German Research Center for Artificial Intelligence, Germany) Kurt Micallef (University of Malta, Malta) Claudia Borg (University of Malta, Malta) Michal Gregor (KINIT, Slovakia) Marián Šimko (KINIT, Slovakia)

Programme Committee: Nora Aranberri (University of Basque Country) Sudhansu Bala Das (School of Languages, Literatures & Cultures and Insight SFI Research Centre for Data Analytics, University of - Galway, Ireland) Ana‑Maria Bucur (University of Bucharest) Annie Lee En-Shiun (Ontario Tech University and University of Toronto) Sofía García González (imaxin software, University of the Basque Country) Albert Gatt (Utretch University) Teresa Lynn (Mohamed bin Zayed University of Artificial Intelligence) Basab Nath (Assam University) Patrizia Paggio (University of Malta) Dhrubajyoti Pathak (National Forensic Sciences University) Fabian Schmidt (University of Würzburg) Marijn Schraagen (Utretch University) A. Seza Doğruöz (University of Ghent) Marc Tanti (University of Malta) Sunita Warjri (University of South Bohemia)