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title = {A benchmark for learning to translate a new language from one grammar book}, title = {A benchmark for learning to translate a new language from one grammar book},
year = {2023}, year = {2023},
file = {:tanzer2023benchmark - A Benchmark for Learning to Translate a New Language from One Grammar Book.pdf:PDF:http\://arxiv.org/pdf/2309.16575v2}, file = {:tanzer2023benchmark - A Benchmark for Learning to Translate a New Language from One Grammar Book.pdf:PDF:http\://arxiv.org/pdf/2309.16575v2},
groups = {read-asap}, groups = {read-asap, low-resource},
}
@InProceedings{zhang2024hire,
author = {Zhang, Kexun and Choi, Yee and Song, Zhenqiao and He, Taiqi and Wang, William Yang and Li, Lei},
booktitle = {Findings of the Association for Computational Linguistics ACL 2024},
title = {Hire a linguist!: Learning endangered languages in LLMs with in-context linguistic descriptions},
year = {2024},
pages = {15654--15669},
file = {:zhang2024hire - Hire a Linguist!_ Learning Endangered Languages in LLMs with in Context Linguistic Descriptions.pdf:PDF:https\://aclanthology.org/2024.findings-acl.925.pdf},
groups = {low-resource},
}
@InProceedings{mcgill-etal-2024-bootstrapping,
author = {McGill, Euan and Chiruzzo, Luis and Saggion, Horacio},
booktitle = {Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)},
title = {Bootstrapping Pre-trained Word Embedding Models for Sign Language Gloss Translation},
year = {2024},
address = {Sheffield, UK},
editor = {Scarton, Carolina and Prescott, Charlotte and Bayliss, Chris and Oakley, Chris and Wright, Joanna and Wrigley, Stuart and Song, Xingyi and Gow-Smith, Edward and Bawden, Rachel and S{\'a}nchez-Cartagena, V{\'i}ctor M and Cadwell, Patrick and Lapshinova-Koltunski, Ekaterina and Cabarr{\~a}o, Vera and Chatzitheodorou, Konstantinos and Nurminen, Mary and Kanojia, Diptesh and Moniz, Helena},
month = jun,
pages = {116--132},
publisher = {European Association for Machine Translation (EAMT)},
abstract = {This paper explores a novel method to modify existing pre-trained word embedding models of spoken languages for Sign Language glosses. These newly-generated embeddings are described, visualised, and then used in the encoder and/or decoder of models for the Text2Gloss and Gloss2Text task of machine translation. In two translation settings (one including data augmentation-based pre-training and a baseline), we find that bootstrapped word embeddings for glosses improve translation across four Signed/spoken language pairs. Many improvements are statistically significant, including those where the bootstrapped gloss embedding models are used.Languages included: American Sign Language, Finnish Sign Language, Spanish Sign Language, Sign Language of The Netherlands.},
file = {:2024.eamt-1.13.pdf:PDF},
groups = {low-resource},
url = {https://aclanthology.org/2024.eamt-1.13/},
}
@Misc{spencer2024llmshelpcreategrammar,
author = {Piyapath T Spencer and Nanthipat Kongborrirak},
title = {Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context Learning},
year = {2024},
archiveprefix = {arXiv},
eprint = {2412.10960},
file = {:spencer2024llmshelpcreategrammar - Can LLMs Help Create Grammar__ Automating Grammar Creation for Endangered Languages with in Context Learning.pdf:PDF:http\://arxiv.org/pdf/2412.10960v1},
groups = {low-resource},
primaryclass = {cs.CL},
url = {https://arxiv.org/abs/2412.10960},
}
@Misc{tekgurler2025llmstranslationhistoricallowresourced,
author = {Merve Tekgurler},
title = {LLMs for Translation: Historical, Low-Resourced Languages and Contemporary AI Models},
year = {2025},
archiveprefix = {arXiv},
eprint = {2503.11898},
file = {:tekgurler2025llmstranslationhistoricallowresourced - LLMs for Translation_ Historical, Low Resourced Languages and Contemporary AI Models.pdf:PDF:http\://arxiv.org/pdf/2503.11898v1},
groups = {low-resource},
primaryclass = {cs.CL},
url = {https://arxiv.org/abs/2503.11898},
}
@Misc{merx2024lowresourcemachinetranslationretrievalaugmented,
author = {Raphaël Merx and Aso Mahmudi and Katrina Langford and Leo Alberto de Araujo and Ekaterina Vylomova},
title = {Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language},
year = {2024},
archiveprefix = {arXiv},
eprint = {2404.04809},
file = {:merx2024lowresourcemachinetranslationretrievalaugmented - Low Resource Machine Translation through Retrieval Augmented LLM Prompting_ a Study on the Mambai Language.pdf:PDF:http\://arxiv.org/pdf/2404.04809v1},
groups = {low-resource},
primaryclass = {cs.CL},
url = {https://arxiv.org/abs/2404.04809},
}
@Article{opitz2025natural,
author = {Opitz, Juri and Wein, Shira and Schneider, Nathan},
journal = {Computational Linguistics},
title = {Natural language processing relies on linguistics},
year = {2025},
pages = {1--23},
file = {:coli_a_00560.pdf:PDF},
groups = {low-resource},
publisher = {MIT Press 255 Main Street, 9th Floor, Cambridge, Massachusetts 02142, USA~…},
} }
@Comment{jabref-meta: databaseType:bibtex;} @Comment{jabref-meta: databaseType:bibtex;}
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