Abstract
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.- Anthology ID:
- 2023.acl-demo.19
- Volume:
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Danushka Bollegala, Ruihong Huang, Alan Ritter
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 208–216
- Language:
- URL:
- https://aclanthology.org/2023.acl-demo.19
- DOI:
- 10.18653/v1/2023.acl-demo.19
- Cite (ACL):
- Fabian Landwehr, Thomas Steinmann, and Laura Mascarell. 2023. OpenTIPE: An Open-source Translation Framework for Interactive Post-Editing Research. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 208–216, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- OpenTIPE: An Open-source Translation Framework for Interactive Post-Editing Research (Landwehr et al., ACL 2023)
- PDF:
- https://preview.aclanthology.org/corrections-2024-05/2023.acl-demo.19.pdf