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cs.CL2026
Syntax as a Rosetta Stone: Universal Dependencies for In-Context Coptic Translation
Abhishek Purushothama, Emma Thronson, Alexia Guo +1
Low-resource machine translation requires methods that differ from those used for high-resource languages. This paper proposes a novel in-context learning approach to support low-r…
cs.CL2026
LLMBridge: An LLM Pipeline for End-to-end Referential Bridging Resolution in English
Lauren Levine, Amir Zeldes
In this paper, we introduce LLMBridge, a new LLM based system for the task of end-to-end referential bridging resolution in English. Our bridging resolution pipeline combines heuri…