Papers by Emma Thronson

1 papers
Syntax as a Rosetta Stone: Universal Dependencies for In-Context Coptic Translation (2026.findings-acl)

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Challenge: Existing work using bilingual dictionaries to support inference for vocabulary items is lacking for low-resource languages.
Approach: They propose to use universal dependency parses of input sentences to augment in-context learning prompts for low resource machine translation for the Coptic language.
Outcome: The proposed approach achieves state-of-the-art results for the Coptic language.

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