Machine translation of anonymized documents with human-in-the-loop
Konstantinos Chatzitheodorou, M. Ángeles García Escrivá, Carmen Grau Lacal
Abstract
In this paper, we introduce a workflow that utilizes human-in-the-loop for post-editing anonymized texts, with the aim of reconciling the competing needs of data privacy and data quality. By combining the strengths of machine translation and human post-editing, our methodology facilitates the efficient and effective translation of anonymized texts, while ensuring the confidentiality of sensitive information. Our experimental results validate that this approach is capable of providing all necessary information to the translators for producing high-quality translations effectively. Overall, our workflow offers a promising solution for organizations seeking to achieve both data privacy and data quality in their translation processes.- Anthology ID:
- 2023.eamt-1.41
- Volume:
- Proceedings of the 24th Annual Conference of the European Association for Machine Translation
- Month:
- June
- Year:
- 2023
- Address:
- Tampere, Finland
- Editors:
- Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora Aranberri, Mara Nunziatini, Carla Parra Escartín, Mikel Forcada, Maja Popovic, Carolina Scarton, Helena Moniz
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 429–436
- Language:
- URL:
- https://aclanthology.org/2023.eamt-1.41
- DOI:
- Cite (ACL):
- Konstantinos Chatzitheodorou, M. Ángeles García Escrivá, and Carmen Grau Lacal. 2023. Machine translation of anonymized documents with human-in-the-loop. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation, pages 429–436, Tampere, Finland. European Association for Machine Translation.
- Cite (Informal):
- Machine translation of anonymized documents with human-in-the-loop (Chatzitheodorou et al., EAMT 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.eamt-1.41.pdf