AI RESEARCH
Syntax as a Rosetta Stone: Universal Dependencies for In-Context Coptic Translation
arXiv CS.CL
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ArXi:2604.18758v1 Announce Type: new 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 low-resource machine translation of the Coptic language to English, with syntactic augmentation from Universal Dependencies parses of input sentences.