2023.acl-demo.19@ACL

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#1 OpenTIPE: An Open-source Translation Framework for Interactive Post-Editing Research [PDF1] [Copy] [Kimi1]

Authors: Fabian Landwehr ; Thomas Steinmann ; Laura Mascarell

Despite the latest improvements on machine translation, professional translators still must review and post-edit the automatic output to ensure high-quality translations. The research on automating this process lacks an interactive post-editing environment implemented for this purpose; therefore, current approaches do not consider the human interactions that occur in real post-editing scenarios. To address this issue, we present OpenTIPE, a flexible and extensible framework that aims at supporting research on interactive post-editing. Specifically, the interactive environment of OpenTIPE allows researchers to explore human-centered approaches for the post-editing task. We release the OpenTIPE source code and showcase its main functionalities with a demonstration video and an online live demo.