Papers by Jaehun Shin

1 papers
Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation (2021.eacl-main)

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Challenge: Automated Post-Editing (APE) aims to correct errors in the output of a given machine translation system.
Approach: They propose two new methods of synthesizing additional MT outputs by adapting back-translation to the APE task, obtaining robust enlargements of existing synthetic APE training dataset.
Outcome: The proposed methods improve translation quality on the English-German APE task by enlarging the existing training dataset.

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