A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning

ACL 2019 Gon{\c{c}}alo M. CorreiaAndr{\'e} F. T. Martins

Automatic post-editing (APE) seeks to automatically refine the output of a black-box machine translation (MT) system through human post-edits. APE systems are usually trained by complementing human post-edited data with large, artificial data generated through back-translations, a time-consuming process often no easier than training a MT system from scratch... (read more)

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