Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)

Hettiarachchi, Hansi and Ranasinghe, Tharindu and Rayson, Paul and Mitkov, Ruslan and Gaber, Mohamed Medhat and Dola Mullage, Damith and Tan, Fiona Anting and Uyangodage, Lasitha (2025) Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025). In: Proceedings of the First Workshop on Language Models for Low-Resource Languages :. Association for Computational Linguistics, ARE. ISBN 9798891762152

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Abstract

The first Workshop on Language Models for Low-Resource Languages (LoResLM 2025) was held in conjunction with the 31st International Conference on Computational Linguistics (COLING 2025) in Abu Dhabi, United Arab Emirates. This workshop mainly aimed to provide a forum for researchers to share and discuss their ongoing work on language models (LMs) focusing on low-resource languages, following the recent advancements in neural language models and their linguistic biases towards high-resource languages. LoResLM 2025 attracted notable interest from the natural language processing (NLP) community, resulting in 35 accepted papers from 52 submissions. These contributions cover a broad range of low-resource languages from eight language families and 13 diverse research areas, paving the way for future possibilities and promoting linguistic inclusivity in NLP.