@inproceedings{sanchez-martinez-etal-2024-lightweight,
title = "Lightweight neural translation technologies for low-resource languages",
author = "S{\'a}nchez-Mart{\'\i}nez, Felipe and
P{\'e}rez-Ortiz, Juan Antonio and
S{\'a}nchez-Cartagena, V{\'\i}ctor and
Lou, Andr{\'e}s and
Garc{\'\i}a-Romero, Cristian and
Galiano-Jim{\'e}nez, Aar{\'o}n and
Espl{\`a}-Gomis, Miquel",
editor = "Scarton, Carolina and
Prescott, Charlotte and
Bayliss, Chris and
Oakley, Chris and
Wright, Joanna and
Wrigley, Stuart and
Song, Xingyi and
Gow-Smith, Edward and
Forcada, Mikel and
Moniz, Helena",
booktitle = "Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)",
month = jun,
year = "2024",
address = "Sheffield, UK",
publisher = "European Association for Machine Translation (EAMT)",
url = "https://aclanthology.org/2024.eamt-2.3",
pages = "4--5",
abstract = "The LiLowLa ({``}Lightweight neural translation technologies for low-resource languages{''}) project aims to enhance machine translation (MT) and translation memory (TM) technologies, particularly for low-resource language pairs, where adequate linguistic resources are scarce. The project started in September 2022 and will run till August 2025.",
}
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<abstract>The LiLowLa (“Lightweight neural translation technologies for low-resource languages”) project aims to enhance machine translation (MT) and translation memory (TM) technologies, particularly for low-resource language pairs, where adequate linguistic resources are scarce. The project started in September 2022 and will run till August 2025.</abstract>
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%0 Conference Proceedings
%T Lightweight neural translation technologies for low-resource languages
%A Sánchez-Martínez, Felipe
%A Pérez-Ortiz, Juan Antonio
%A Sánchez-Cartagena, Víctor
%A Lou, Andrés
%A García-Romero, Cristian
%A Galiano-Jiménez, Aarón
%A Esplà-Gomis, Miquel
%Y Scarton, Carolina
%Y Prescott, Charlotte
%Y Bayliss, Chris
%Y Oakley, Chris
%Y Wright, Joanna
%Y Wrigley, Stuart
%Y Song, Xingyi
%Y Gow-Smith, Edward
%Y Forcada, Mikel
%Y Moniz, Helena
%S Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)
%D 2024
%8 June
%I European Association for Machine Translation (EAMT)
%C Sheffield, UK
%F sanchez-martinez-etal-2024-lightweight
%X The LiLowLa (“Lightweight neural translation technologies for low-resource languages”) project aims to enhance machine translation (MT) and translation memory (TM) technologies, particularly for low-resource language pairs, where adequate linguistic resources are scarce. The project started in September 2022 and will run till August 2025.
%U https://aclanthology.org/2024.eamt-2.3
%P 4-5
Markdown (Informal)
[Lightweight neural translation technologies for low-resource languages](https://aclanthology.org/2024.eamt-2.3) (Sánchez-Martínez et al., EAMT 2024)
ACL
- Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz, Víctor Sánchez-Cartagena, Andrés Lou, Cristian García-Romero, Aarón Galiano-Jiménez, and Miquel Esplà-Gomis. 2024. Lightweight neural translation technologies for low-resource languages. In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), pages 4–5, Sheffield, UK. European Association for Machine Translation (EAMT).