new literature

amu-literature.bib

@@ -1628,7 +1628,80 @@
   title   = {A benchmark for learning to translate a new language from one grammar book},
   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},
-  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~…},
 }
 
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 }