Papers by Jonathan Hus

1 papers
Back to School: Translation Using Grammar Books (2024.emnlp-main)

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Challenge: Current large language models require massive amounts of parallel sentences to perform machine translations for high resource languages.
Approach: They propose to incorporate grammar books into the prompt of GPT-4 to improve machine translation and evaluate the performance on 16 topologically diverse low-resource languages.
Outcome: The proposed method improves on 16 low-resource languages on 16 topologically diverse languages.

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