Papers by Michael Best

1 papers
A Survey of NLP Progress in Sino-Tibetan Low-Resource Languages (2025.naacl-long)

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Challenge: Despite the increasing effort in including more low-resource languages in NLP/CL development, most of the world’s languages are still absent.
Approach: They propose to include low-resource languages in NLP/CL research as more resources are poured into the development of data-driven models.
Outcome: The proposed language family is a low-resource language family with a small number of native speakers and government support.

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