Syntax as a Rosetta Stone: Universal Dependencies for In-Context Coptic Translation

This paper introduces a novel in-context learning approach for low-resource Coptic to English machine translation, augmenting inputs with syntactic information from Universal Dependencies parses. Combining this syntactic data with dictionary-based glosses achieves significant gains and sets a new state-of-the-art.