Papers with backtranslation models

1 papers
Language Model Priors and Data Augmentation Strategies for Low-resource Machine Translation: A Case Study Using Finnish to Northern Sámi (2024.findings-acl)

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Challenge: a new study examines the use of monolingual data for improving low-resource machine translation.
Approach: They investigate ways of using monolingual data for improving low-resource machine translation.
Outcome: The proposed model can perform better on the target-side data without augmentation of parallel data.

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