Abstract
In this paper the MTUOC project, aiming to provide an easy integration of neural and statistical machine translation systems, is presented. Almost all the required software to train and use neural and statistical MT systems are released under free licences. However, their use is not always easy and intuitive and medium-high specialized skills are required. MTUOC project provides simplified scripts for preprocessing and training MT systems, and a server and client for easy use of the trained systems. The server is compatible with popular CAT tools for a seamless integration. The project also distributes some free engines.- Anthology ID:
- 2020.eamt-1.55
- Volume:
- Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Lisboa, Portugal
- Editors:
- André Martins, Helena Moniz, Sara Fumega, Bruno Martins, Fernando Batista, Luisa Coheur, Carla Parra, Isabel Trancoso, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof, Mary Nurminen, Lena Marg, Mikel L. Forcada
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 467–468
- Language:
- URL:
- https://aclanthology.org/2020.eamt-1.55
- DOI:
- Cite (ACL):
- Antoni Oliver. 2020. MTUOC: easy and free integration of NMT systems in professional translation environments. In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 467–468, Lisboa, Portugal. European Association for Machine Translation.
- Cite (Informal):
- MTUOC: easy and free integration of NMT systems in professional translation environments (Oliver, EAMT 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.eamt-1.55.pdf