Training and integration of neural machine translation with MTUOC

Antoni Oliver, Sergi Álvarez

Research output: Chapter in BookChapterResearchpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 1st Workshop on Open Community-Driven Machine Translation, crowdMT 2023
EditorsMiquel Espla-Gomis, Mikel L. Forcada, Mikel L. Forcada, Taja Kuzman, Nikola Ljubesic, Rik van Noord, Gema Ramirez-Sanchez, Jorg Tiedemann, Antonio Toral
PublisherEuropean Association for Machine Translation
Pages5-13
Number of pages9
ISBN (Electronic)9788413022284
Publication statusPublished - 2023

Publication series

NameProceedings of the 1st Workshop on Open Community-Driven Machine Translation, crowdMT 2023

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