Training and integration of neural machine translation with MTUOC

Antoni Oliver, Sergi Alvarez


Abstract
In this paper the goals and main objectives of the project MTUOC are presented. This project aims to ease the process of training and integrating neural machine translation (NMT) systems into professional translation environments. The MTUOC project distributes a series of auxiliary tools that allow to perform parallel corpus compilation and preprocessing, as well as the training of NMT systems. The project also distributes a server that implements most of the communication protocols used in computer assisted translation tools.
Anthology ID:
2023.crowdmt-1.1
Volume:
Proceedings of the 1st Workshop on Open Community-Driven Machine Translation
Month:
June
Year:
2023
Address:
Tampere, Finland
Editors:
Miquel Esplà-Gomis, Mikel L. Forcada, Taja Kuzman, Nikola Ljubešić, Rik van Noord, Gema Ramírez-Sánchez, Jörg Tiedemann, Antonio Toral
Venue:
CrowdMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
5–13
Language:
URL:
https://aclanthology.org/2023.crowdmt-1.1
DOI:
Bibkey:
Cite (ACL):
Antoni Oliver and Sergi Alvarez. 2023. Training and integration of neural machine translation with MTUOC. In Proceedings of the 1st Workshop on Open Community-Driven Machine Translation, pages 5–13, Tampere, Finland. European Association for Machine Translation.
Cite (Informal):
Training and integration of neural machine translation with MTUOC (Oliver & Alvarez, CrowdMT 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.crowdmt-1.1.pdf