Findings of the first shared task on lifelong learning machine translation

Other authors

Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions

Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla

Publication date

2020

Abstract

A lifelong learning system can adapt to new data without forgetting previously acquired knowledge. In this paper, we introduce the first benchmark for lifelong learning machine translation. For this purpose, we provide training, lifelong and test data sets for two language pairs: English-German and English-French. Additionally, we report the results of our baseline systems, which we make available to the public. The goal of this shared task is to encourage research on the emerging topic of lifelong learning machine translation.


This work is is supported in part by the Spanish Ministerio de Ciencia e Innovacion, through the postdoctoral senior grant Ramon y Cajal and by the Agencia Estatal de Investigacion through the projects EUR2019-103819, PCIN-2017-079 and PID2019-107579RB-I00 / AEI / 10.13039/501100011033.


Peer Reviewed


Postprint (published version)

Document Type

Conference lecture

Language

English

Publisher

Association for Computational Linguistics

Related items

https://www.aclweb.org/anthology/2020.wmt-1.2/

info:eu-repo/grantAgreement/AEI/2PE/EUR2019-103819

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación (PEICTI) 2013-2016/PCIN-2017-079/ES/AUTONOMOUS LIFELONG LEARNING INTELLIGENT SYSTEMS/

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107579RB-I00/ES/ARQUITECTURAS AVANZADAS DE APRENDIZAJE PROFUNDO APLICADAS AL PROCESADO DE VOZ, AUDIO Y LENGUAJE/

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Rights

https://creativecommons.org/licenses/by/4.0/

Open Access

Attribution 4.0 International

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E-prints [72987]