Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866912165308399616 |
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| author | Hettiarachchi, Hansi Ranasinghe, Tharindu Rayson, Paul Mitkov, Ruslan Gaber, Mohamed Premasiri, Damith Tan, Fiona Anting Uyangodage, Lasitha |
| author_facet | Hettiarachchi, Hansi Ranasinghe, Tharindu Rayson, Paul Mitkov, Ruslan Gaber, Mohamed Premasiri, Damith Tan, Fiona Anting Uyangodage, Lasitha |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2412_16365 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025) Hettiarachchi, Hansi Ranasinghe, Tharindu Rayson, Paul Mitkov, Ruslan Gaber, Mohamed Premasiri, Damith Tan, Fiona Anting Uyangodage, Lasitha Computation and Language Artificial Intelligence 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. |
| title | Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025) |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2412.16365 |