Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/151367
Title: | MTUOC: a complete toolkit for training and integrating neural machine translation |
Author: | Oliver, Antoni ![]() |
Citation: | Oliver, A. [Antoni] (2022). MTUOC: a Complete Toolkit for Training and Integrating Neural Machine Translation. [conferència]. New Trends in Translation and Technology, Rhodes Island, Greece. |
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. |
Document type: | info:eu-repo/semantics/conferenceObject |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | Jun-2022 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/4.0/es/ ![]() |
Appears in Collections: | Conferencias |
Files in This Item:
File | Description | Size | Format | |
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2020-MTUOC-NTTT-Oliver.pdf | 123,73 kB | Adobe PDF | ![]() View/Open |
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