2026-04-17T12:02:18Zhttps://recercat.cat/oai/request
oai:recercat.cat:2117/3412692025-07-17T14:35:38Zcom_2072_1033col_2072_452950
RECERCAT author Barrault, Loïc author Biesialska, Magdalena Marta author Ruiz Costa-Jussà, Marta author Bougares, Fethi author Galibert, Olivier 2020 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 ReviewedPostprint (published version) https://creativecommons.org/licenses/by/4.0/ Open Access Attribution 4.0 International Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural Machine translating Natural language processing (Computer science) English-French translation English-German translation Traducció automàtica Tractament del llenguatge natural (Informàtica) Findings of the first shared task on lifelong learning machine translation Conference lecture