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Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions
Feb. 29, 2024, 5:48 a.m. | Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li
cs.CL updates on arXiv.org arxiv.org
Abstract: How can large language models (LLMs) process and translate endangered languages? Many languages lack a large corpus to train a decent LLM; therefore existing LLMs rarely perform well in unseen, endangered languages. On the contrary, we observe that 2000 endangered languages, though without a large corpus, have a grammar book or a dictionary. We propose LINGOLLM, a training-free approach to enable an LLM to process unseen languages that hardly occur in its pre-training. Our key …
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