Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/119706
Title: MTUOC: easy and free integration of NMT systems in professional translation environments
Author: Oliver González, Antoni
Others: Universitat Oberta de Catalunya (UOC)
Keywords: machine translation
neural machine translation
Issue Date: Jun-2020
Publisher: European Association for Machine Translation (EAMT)
Citation: Oliver, A. (2020). MTUOC: easy and free integration of NMT systems in professional translation environments. European Association for Machine Translation (EAMT). Proceedings, 2020(), 467-468.
Published in: Conference of the European Association for Machine Translation (EAMT), conferència en línia, 3-5 novembre, 2020
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 is 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.
Language: English
URI: http://hdl.handle.net/10609/119706
ISBN: 9789893305898
Appears in Collections:Parts of books or chapters of books

Share:
Export:
Files in This Item:
File Description SizeFormat 
aoliverg-MTUOC-EAMT2020.pdf198.83 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons