Papers by Zhengzhe Yu

1 papers
Text Style Transfer Back-Translation (2023.acl-long)

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Challenge: Current methods require large amount of bilingual training data, which is challenging and sometimes impossible task.
Approach: They propose a method to modify the style of inputs by modifying the source side of BT data.
Outcome: The proposed method significantly improves translation quality against popular BT benchmarks on high-resource and low-resourced language pairs.

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